Статьи 2005 года



Abraham R., Miller M., Miller J. (2005). Emerging 4D graphics for math and science education // Paper presented at the ACM SIGGRAPH 2005 Educators program, Los Angeles, California.

Abrahamson D., Blikstein P., Lamberty K.K., Wilensky U. (2005). Mixed-media learning environments // Paper presented at the annual meeting of Interaction Design and Children 2005, Boulder, Colorado.

Abrahamson D., Wilensky U. (2005). Collaboration and equity in classroom activities using Statistics As Multi-Participant Learning-Environment Resource (S.A.M.P.L.E.R.) // In W. Stroup and U. Wilensky (Chairs), & C. D. Lee (Discussant), «Patterns in group learning with next-generation network technology.» Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.

Abrahamson D., Wilensky U. (2005). Piaget? Vygotsky? I'm game: Agent-based modeling for psychology research // Paper presented at the annual meeting of the Jean Piaget Society. Vancouver, Canada, June 1-3.

Abrahamson D., Wilensky U. (2005). ProbLab goes to school: Design, teaching, and learning of probability with multi-agent interactive computer models // Paper presented at the Fourth Conference of the European Society for Research in Mathematics Education, San Feliu de Guixols, Spain.

Abrahamson D., Wilensky U. (2005). The stratified learning zone: Examining collaborative-learning design in demographically-diverse mathematics classrooms // In D. Y. White (Chair) & E. H. Gutstein (Discussant), «Equity and diversity studies in mathematics learning and instruction.» Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 – 15.

Abrahamson D., Wilensky U. (2005). Understanding chance: From student voice to learning supports in a design experiment in the domain of probability // In G.M. Lloyd, M. Wilson, J. L. M. Wilkins & S.L. Behm (Eds.), Proceedings of the Twenty Seventh Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education.Roanoke, VA.

Adams Jeffrey, Flatto Jerry, Gardner Leslie. Combining hands-on, spreadsheet and discrete event simulation to teach supply chain management // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2329-2337.
This paper describes the effect of combining hands-on simulation with spreadsheets and discrete event simulations. These tools enhance the student learning process of supply chain management principles. Active, hands-on learning is one of the most effective types of learning but is very time consuming. Supplementing it with computer simulation enhances the hands-on learning to cover more material in less time making an efficient and effective learning experience.

Aksyonov K.A., Smoliy E.F., Goncharova N.V., Khrenov A.A., Baronikhina A.A. Development of Resource Conversion Processes Model and Simulation System. Proceedings of the EUROCON 2005. Serbia & Montenegro, Belgrad. 2005. p.1722-1725.
Разработка модели процесса преобразования ресурсов и системы имитационного моделирования.

Aldinger T., Kopf S., Scheele N., Effelsberg W. (2005). Participatory Simulation of a Stock Exchange.

Alexopoulos Christos, Kim Seong-Hee. Review of advanced methods for simulation output analysis // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.188-201.
This paper reviews statistical methods for analyzing output data from computer simulations. First, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and methods based on standardized time series. Second, it reviews recent statistical procedures to find the best system among a set of competing alternatives.

Allen Nicholas A., Shaffer Clifford A., Watson Layne T. Building modeling tools that support verification, validation, and testing for the domain expert // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.419-426.
Successfully building a model requires a combination of expertise in the problem domain and in the practice of modeling and simulation. Model verification, validation, and testing (VV&T) are essential to the consistent production of models that are useful and correct. There are significant communities of domain experts that build and use models without employing dedicated modeling specialists. Current modeling tools relatively underserve these communities, particularly in the area of model testing and evaluation. This paper describes several techniques that modeling tools can use to support the domain expert in performing VV&T, and discusses the advantages and disadvantages of this approach to modeling.

Amos M., Wood A. (2005). Effect of door delay on aircraft evacuation time // Arxiv preprint cs.MA/0509050.
Here we present a computationally cheap agent-based framework 4 for the general simulation of aircraft evacuation 5-7, and apply it to the particular case of the Airbus A380. In particular, we investigate the effect of door delay, and conclude that even a moderate average delay can lead to evacuation times that exceed the maximum for safety certification. The model suggests practical ways to minimise evacuation time, as well as providing a general framework for the simulation of evacuation.

Avramidis Athanassios N., L’Ecuyer Pierre. Modeling and simulation of call centers // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.144-152.
In this review, we introduce key notions and describe the decision problems commonly encountered in call center management. Main themes are the central role of uncertainty throughout the decision hierarchy and the many operational complexities and relationships between decisions. We make connections to analytical models in the literature, emphasizing insights gained and model limitations. The high operational complexity and the prevalent uncertainty suggest that simulation modeling and simulation-based decision-making could have a central role in the management of call centers. We formulate some common decision problems and point to recently developed simulation-based solution techniques.

Babiceanu Radu F., Chen F. Frank. Performance evaluation of agent-based material handling systems using simulation techniques // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1022-1028.
This work proposes an agent-based material handling system and contrasts the centralized and decentralized scheduling approaches for allocation of material handling operations to the available resources in the system. To justify the use of the decentralized agent-based approach and assess its performance compared to conventional scheduling systems, a series of validation tests and a simulation study are carried out. As illustrated by the preliminary results obtained in the simulation study the decentralized agent based approach can give good feasible solutions in a short amount of time.

Banos A., Godara, A., Lassarre S. (2005). Simulating pedestrians and cars behaviours in a virtual city: an agent-based approach // Paper presented at the European Conference on Complex Systems, Paris, 14-18 November.

Barry Philip S., Koehler Matthew T.K. Leveraging agent based simulation for rapid course of action development // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1001-1007.
In the spring of 2005 a limited objective experiment was carried out to assess the feasibility of using agent based simulations to enhance co-evolutionary course of action development. In particular, relatively low fidelity simulations were employed to visualize the results of particular courses of action. The results of the experiment indicate that there is significant potential for low fidelity simulations to stimulate objective thinking in course of action development.

Barton A. (2005). Modelling the Foraging Patterns of a Colony of Co-operating Army Ant Agents using NetLogo // NRC/ERB-1122. February 21, 2005.

Beer M.D., Hill R. (2005). Integrating Multi-Agent Systems into the Wider Computing Curriculum // Paper presented at the The AAMAS-2005 Workshop on Teaching Multi-Agent Systems - TeachMAS Utrecht, the Netherlands.

Berland M., Wilensky U. (2005). Complex play systems -- Results from a classroom implementation of VBOT // Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.

Biles William E., Kleijnen Jack P.C. International collaborations in web-based simulation: a focus on experimental design and optimization // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.218-222.
This paper summarizes several years of research conducted by the authors to investigate the use of the world-wide web in conducting large-scale simulation studies. This early work utilized models coded in the Java-based Silk simulation language. By 2001, this research had extended the web-based simulation approach to more widely used simulation languages such as Arena. The present state of this research is that large-scale simulation studies can be conducted on a set of computers, accessed through the web, in a fraction of the time needed using a single processor.

Blikstein P., Abrahamson D., Wilensky U. (2005). NetLogo: Where we are, where we're going // Paper presented at the annual meeting of Interaction Design and Children. Boulder, Colorado.
NetLogo, a multi-agent cross-platform modeling-and-simulation environment, has been enhanced with new capabilities. We explain selected simulations from our Models Library and describe recent enhancements (e.g., 3D) and demonstrate extensions (e.g., music). We focus on Hub Net, a technological infrastructure for facilitating participatory simulations, run these activities with participants, and discuss learning experiences afforded by these activities.

Blikstein P., Wilensky U. (2005). Less is more: Agent-based simulation as a powerful learning tool in materials science // Paper presented at the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands.
This paper reports on a user study of a computer-aided learning environment for Materials Science. «MaterialSim» is an agentbased set of microworlds built in the NetLogo modeling environment, for investigating crystallization, solidification, metallic grain growth and annealing.

Bodner Douglas A., Rouse William B., Pennock Michael J. Using simulation to analyze R&D value creation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1906-1913.
As the front-end to product and system lifecycles, research and development activities serve as engines of value creation. By nature, though, R&D involves significant uncertainty. As such, it often is viewed as an investment problem, whereby funds are invested in ventures under risk, with the hope of achieving future value. This paper investigates the use of organizational simulation to analyze the R&D investment problem, focusing on ways to increase value created from R&D. Based on a process-focused model of R&D systems, initial results indicate that using a real options framework to valuate R&D outperforms traditional discounted cash flow (DCF) methods in total value created, but that DCF methods are preferred for return on R&D investment.

Bonnefoy Philippe A. Simulating air taxi networks // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1586-1595.
The U.S. air transportation industry is about to experience the emergence of on-demand air taxi networks enabled by a new generation of Very Light Jets. These new networks are unique in many ways and the top down design approach of air taxi enterprises generates challenging and complex questions. Simulation was found to be an essential technique for understanding, analyzing and evaluating the complex behavior of air taxi networks. The Air Taxi Network Simulator is a fast-time simulator that replicates the operations of fleets of air taxi aircraft over a network of hundreds of airports. Its capabilities include demand modeling, trip generation, aircraft routing and pilot assignment, unscheduled maintenance events with recovery mechanisms, etc. It provides key performance metrics that enable decision makers to test and evaluate various strategic and tactical scenarios.

Born Richard G. Teaming discrete-event simulation and geographic information systems to solve a temporal/spatial business problem // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2482-2491.
Although discrete-event simulation has pedagogically been rooted in computer science, and the practicality of geographic information systems in geography, the combined use of both in the business world allows solving some very challenging temporal/spatial (time and space dependent) business problems. The discrete-event simulation language WebGPSS, an ideal simulation environment for the business person, is teamed with Microsoft MapPoint, a GIS (geographic information system) designed to bring powerful mapping and analysis techniques to corporate office desktops. The result is the ability to solve innovative business strategy problems before implementing them in the real world. This paper focuses on one such problem by using WebGPSS to drive a simulation that provides geographic data for display by MapPoint, and ultimately map animations showing spatial and temporal business changes.

Buchholz, P., Thümmler, A. (2005). Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization // In Proceedings of the 2005 Winter Simulation Conference, pp. 843-852.

Bury Scott J., Akiya Naoko. Evaluating proposed capital and operational improvements at a marine terminal // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2005-2010.
Marine terminal operations are complex, and evaluating changes is best done using a simulation tool that captures the dynamics and interactions of the system. We have developed a flexible and robust discrete-event simulation of a marine terminal that handles liquid cargo. We used this simulation to investigate proposed changes generated by a Six Sigma project to reduce congestion at the terminal. Our study provided quantitative data to base decisions on the expected operational and financial impact of the proposed changes. The simulation captured the important details of the system and increased the Six Sigma team’s confidence in their recommendations.

Buss Arnold H., Sanchez Paul J. Simple movement and detection in discrete event simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.992-1000.
Many scenarios involving simulation require modeling movement and sensing. Traditionally, this has been done in a time-stepped manner, often because of a mistaken belief that using a pure discrete event approach is infeasible. This paper discusses how simple motion (linear, uniform, two dimensional) and simple sensing can be modeled with a pure Discrete Event approach. We demonstrate that this approach is not only feasible, it is often more desirable from several standpoints.

Cace I., Bryson J. (2005). Agent Based Modelling of Communication Costs: Why information can be free // In Emergence and Evolution of Linguistic Communication C. Lyon, C. L Nehaniv and A. Cangelosi, eds., pp. 305-322, Springer 2007.
This paper describes a model that demonstrates that sharing knowledge can be adaptive purely for its own sake. This is despite the fact that sharing knowledge costs the speaker in terms of foraging opportunities, and that initially the majority of the population consists of free-riders who listen but do not speak. The population is able to take advantage of the increased carrying capacity of the environment that results from the spread of knowledge, and the free riders are reliably out competed by the speakers.

Calvez B., Hutzler G. (2005). Parameter Space Exploration of Agent-Based Models // In Knowledge-Based Intelligent Information and Engineering Systems, 3684, 633-639. Springer Berlin / Heidelberg.

Carnahan Joseph C., Reynolds Paul F., Brogan David C. Simulation-specific characteristics and software reuse // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2492-2499.
We argue that simulations possess interesting characteristics that facilitate adaptation. Simplifying assumptions, stochastic sampling, and event generation are common features which lend themselves to adaptation for reuse. In this paper, we explore simulation-specific characteristics amenable to adaptation and the ways they can be exploited in support of reuse. Our work is of particular relevance to research in component based simulations and dynamic data driven application systems, where adaptability and reuse are essential.

Carson II John S. Introduction to modeling and simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.16-23.
Simulation is a powerful tool for the evaluation and analysis of new system designs, modifications to existing systems and proposed changes to control systems and operating rules. Conducting a valid simulation is both an art and a science. This paper provides an introduction to discrete event simulation and the main concepts – system state, events, processes–underlying simulation. It discusses the major world views used by simulation software. It includes a brief discussion of a number of other important issues: the advantages and disadvantages of using a simulation model, the skills required to develop a simulation model, the key steps in conducting a simulation study.

Cates Grant R., Mollaghasemi Mansooreh. A discrete event simulation model for assembling the international space station // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1260-1264.
In late 2002 and early 2003, a discrete event simulation (DES) model was used to help NASA assess the viability of achieving a politically important goal. The goal was to complete the assembly of the International Space Station through the milestone known as United States Core Complete by February 19th, 2004. The analysis provided by the DES model was subsequently shown to be consistent with NASA’s official assessments regarding the completion date for U.S. Core Complete. The success of this DES model has led to further improvements in modeling NASA’s project to assemble the International Space Station.

Chen Lan, Pidd Michael. High performance simulation in quasi-continuous manufacturing plants // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1367-1372.
Though the quality of discrete simulation software packages is high, most are aimed at systems in which discrete objects change state as they move from work-station to work-station. This generic model is a good fit for some manufacturing, for example, much automotive production. LanSkim is a prototype PC-based package designed for these applications. It is simple to use and runs very fast but is insufficiently detailed for all purposes. Adding full detail would make the simulations run very slowly, hence we examine the use of parallel computation to allow increased level of detail. We describe Lan WARPED, based on WARPED, which is a parallel simulation models of such plant.

Chen Liu, Qun Li, Wei-ping Wang, Yi-fan Zhu. Extend SRML schema based on DEVS: an executable DEVS language // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2693-2699.
This paper analyzes the significance of the representation and reusability of SRML when being used in simulation models as well as its drawbacks. The paper also discusses the ways to extend SRML schema based on DEVS. The model behavior, such as external transition, internal transition, output and time-advance functions are described by script language and a group of standard interface offered by SRML simulator in Script marks. The paper then reviews the SRML element architecture and finally gives a simulation demo of using SRML to build differential equation model.

Chernakov D.V., Okol'nishnikov V.V. Control Program Development System // Proc. of the Second IASTED International Multi-Conference AUTOMATION, CONTROL, AND APPLICATIONS (ACIT-ACA). — Novosibirsk, 2005, p. 142–145.

Confessore Giuseppe, Liotta Giacomo, Grieco Rosario. A simulation-based architecture for supporting strategic and tactical decisions in the apron of rome-fiumicino airport // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1596-1605.
In this paper we describe an architecture for the evaluation and optimization of aircraft ground movements in apron taxiways. The paper aims at providing an effective methodology for supporting the decision-makers involved in both the apron design and management phases. The purpose deriving from the utilization of the proposed approach consists in obtaining substantial improvements in the level of service with a reduction in congestion and ground delays within airports while considering safety aspects like aircraft separation. The methodology relies on a modular architecture. A simulation-based architecture, in which an optimization module is included, has been developed; an information feedback between simulation and optimization modules is enabled.

Da Costa L.E., Terhesiu D. (2005). A simple model for the diffusion of ideas // Research Project for the Complex Systems Summer School, SFI (Santa Fe, New Mexico).

Davis Paul K. New paradigms and new challenges // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1067-1076.
This paper lays out provocative assertions about major challenges for the modeling and simulation community. One relates to building M&S for the purpose of assisting the search for strategies that are flexible, adaptive, and robust despite uncertainty. A key aspect of this search is exploratory analysis, coupled with selective zoom. These, in turn, require multiresolution modeling with sound models (albeit, with uncertain data). But sound models must be adaptive models, since humans are adaptive. And rigorous analysis with adaptive models, such as those involving agents, requires new methods and attitudes, as well as new tools.

de Marchi S. (2005). Computational and Mathematical Modeling in the Social Sciences // Cambridge University Press.

Deviatkov V.V. Vlasov S.A. Experience in the development and application of simulation in Russia: review, analysis of prospects (Опыт разработки и применения имитационного моделирования в России: обзор, анализ и перспективы) //Proceedings 19th European Conference on Modeling and Simulation. – Riga (Latvia): ECMS, June 1-4, 2005, P. 23-27.

DiLeo John J. FreeSML: Delivering on the open-source simulation language promise // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2513-2523.
FreeSML is a Java-based simulation language, providing support for process-oriented and event-oriented simulation, along with limited support for continuous-variable simulation. The core simulation engine is indirectly derived from that of Silk 1.3, and the language’s public interface is based heavily on those of Silk and SSJ. Unlike earlier languages, FreeSML was developed with the specific intent that it be released as an open-source package, and has been released under the Free Software Foundation’s Lesser General Public License.

Douglas J. Morrice, Richard A. Valdez, Jack P. Chida, Jr., Missan Eido. Discrete Event Simulation in Supply Chain Planning and Inventory Control at Freescale Semiconductor, Inc // Proceedings of the 2005 Winter Simulation Conference, p. 1718-1724.

Dubiel Benjamin, Tsimhoni Omer. Integrating agent based modeling into a discrete event simulation // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1029-1037.
In this paper we propose to integrate agent based modeling with discrete event simulation to simulate the movement of people in a discrete event system. An agent based module was constructed within the AutoMod simulation package, and a test case was modeled in which people (agents) at a theme-park interact with objects and people in their environment to get directions and then walk or take a tram to their final destination. We explain the details of model implementation and describe the verification and initial validation of the model.

Faget Patrick, Herrmann Frank. Applying discrete event simulation and an automated bottleneck analysis as an aid to detect running production constraints // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1401-1407.
This paper describes the application of a method for detecting bottlenecks in discrete event models developed by Toyota Motor Company. The objective in this case is to automate the bottleneck analysis facilitating the understanding and adoption of simulation by decision makers without knowledge of simulation. The main results of this paper are the validation of the bottleneck detection method and its integration with MS Excel spreadsheets. Moreover system improvement alternatives are presented by the use of design of experiments.

Fioroni Marcelo Moretti, Franzese Luiz Augusto G., Harano Edson Luis M., Costhek Benedito Pedro, Mendes Joao Bosco, Cuzzuol Joeli, Lima Juliana de Souza, Santos Ricardo Baeta, Coelho Robson Jacinto, Silva Adriano Cesar, Kimsr Odair Jose. Simulation based decision for steelmaking operations challenges // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2657-2662.
Companhia Siderurgica de Tubarao CST, is investing to expand production level in 50%, adding new equipment and altering production process. Simulation is widely used in CST, mainly in strategic phases prior to capital investment. A previous simulation model developed with ARENA was enhanced to help CST achieve new goals: to analyze new process plan with operational details, testing different production and operational scenarios, evaluating new procedures and best practices. Two case studies are presented here to show how CST uses this technology: the expansion of an steelmaking plant and the expansion of the raw material handling conveyor system.

Forsyth Adam J., Horne Gary E., Upton Stephen C. Marine corps applicatons of data farming // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1077-1081.
Project Albert is a modeling and simulation initiative of the United States Marine Corps that combines the rapid prototyping of agent-based distillations with the exploratory power of data farming to rapidly generate insight into military questions. The goal of data farming is that decision makers will no longer be surprised by surprise. This paper outlines some data farming explorations conducted over the past few years.

Friman Henrik, Horne Gary E. Using agent models and data farming to explore network centric operations // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1094-1100.
Network Centric Operations are difficult to quantify in many respects with models or other methods. Data Farming is a methodology and capability that makes use of high performance computing to run models many times. In the case of agent-based models that are relatively small, many runs can be performed in a short period of time. This capability gives modelers and their clients the enhanced ability to discover trends and outliers in results in a variety of areas. In this paper the authors discuss some notional efforts to begin to explore questions in the area of network centric operations using the agent model MANA and Data Farming.

Fu Michael C., Glover Fred W., April Jay. Simulation optimization: a review, new developments, and applications // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.83-95.
We provide a descriptive review of the main approaches for carrying out simulation optimization, and sample some recent algorithmic and theoretical developments in simulation optimization research. Then we survey some of the software available for simulation languages and spreadsheets, and present several illustrative applications.

Geist Robert, Hicks Jacob, Smotherman Mark, Westall James. Parallel simulation of Petri nets on desktop pc hardware // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.374-383.
A comparatively simple approach to highly parallel simulation of Petri nets on commodity, desktop PC hardware is suggested. A mapping, described in the programming language Cg, of Petri net semantics to the SIMD architecture of NVidia 5-series and 6-series GPUs is provided, and a prototype simulator is tested on both conflict-intensive and conflict-free Petri net models. In all cases, the prototype parallel simulator is seen to deliver substantial performance gains over its serial counterparts. Limitations of the approach and open design issues are also described.

Gershenson C. (2005). Self-Organizing Traffic Lights // Complex Systems, 16(1):29–53.
We use a multi-agent simulation to study three self-organizing methods, which are able to outperform traditional rigid and adaptive methods. Using simple rules and no direct communication, traffic lights are able to self-organize and adapt to changing traffic conditions, reducing waiting times, number of stopped cars, and increasing average speeds.

Giachetti Ronald E., Centeno Edwin A., Centeno Martha A., Sundaram Ramakrishnan. Assessing the viability of an open access policy in an outpatient clinic: a discrete-event and continuous simulation modeling approach // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.2246-2255.
This paper presents the preliminary results of an ongoing research project investigating the patient appointment scheduling for an outpatient clinic. The outpatient clinic was experiencing three problems of long patient throughput times, a large backlog of appointments, and a high noshow rate. We believe a new scheduling approach called Open Access could address all three problems. To analyze and make recommendations for improvement to patient cycle time we developed a discrete event simulation. To understand the factors leading to a high no-show rate we developed a systems dynamic simulation model.

Gilbert N., Troitzsch K. (2005). Simulation for the social scientist (second ed.) // Milton, UK: Open University Press.

Gobert J., Buckley B., Dede C., Levy S., Slotta J., Wilensky U. (2005). Technology features that support research through logging of student interactions with models // Paper presented at the Winter Text Conference, Jackson Hole, WY, January 20-23.

Goldsman David, Kim Seong-Hee, Nelson Barry L. Statistical selection of the best system // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.178-187.
This tutorial discusses some statistical procedures for selecting the best of a number of competing systems. The term «best» may refer to that simulated system having, say, the largest expected value or the greatest likelihood of yielding a large observation. We describe various procedures for finding the best, some of which assume that the underlying observations arise from competing normal distributions, and some of which are essentially nonparametric in nature. In each case, we comment on how to apply the above procedures for use in simulations.

Greenwood Allen G., Vanguri Sucharith, Eksioglu Burak, Jain Pramod, Miller Jeffery W., Walden Clayton T. Simulation optimization decision support system for ship panel shop operations // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2078-2086.
Simulation is a powerful tool that is used to understand and analyze the effect of changes on real systems. However, developing and using simulation models requires highlevel engineering skills. The objective of this research is to put state-of-the-art problem-solving technologies into the hands of decision makers, e.g. planners and supervisors. This paper presents a Decision Support System (DSS) that utilizes discrete-event simulation models and heuristic optimization, yet permits effective use without detailed knowledge of the methodologies. The system is developed for the Panel Shop at Northrop Grumman Ship Systems’ (NGSS) Pascagoula Operations; the shop is considered the bottleneck for the shipyard.

Grimard Carrie, Marvel Jon H., Standridge Charles R. Validation of the re-design of a manufacturing work cell using simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1386-1391.
Simulation can be used to validate the design or redesign of any complex system before it is implemented. Validation evidence is obtained if the simulation demonstrates that the system operation corresponds to its design. This evidence includes comparing both detailed system behavior and performance measure values to those stated in the design. The application of simulation to validating the redesign of an injector assembly and calibration production area is discussed. Modeling challenges unique to part movement using one-piece flow, work in process inventory control, and the movement of both workers and parts are discussed.

Gulyas L., Bartha S., Kozsik T., Szalai R., Korompai A., Tatai G. (2005). The Multi-Agent Simulation Suite (MASS) and the Functional Agent-Based Language of Simulation (FABLES) // Paper presented at Swarmfest2005, Torino, Italy, June 5-7, 2005.

Gurkan P., Taskin C. Application of simulation technique in weaving mills // Fibers & Textiles in Eastern Europe, 2005, Vol. 13, No.3(51), pp.8-10.

Hasgul Servet, Buyuksünetci Alptug Selçuk. Simulation modeling and analysis of a new mixed model production lines // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1408-1412.
Mixed model production lines are often used in manufacturing systems. In production lines, different product types are simultaneously manufactured by processing small batches. This paper describes a recently completed project involving the development of simulation models for a mixed model production line in a refrigerator company. Decision maker wants to determine the bottlenecks before changing the traditional line to a mixed model production line. Due to the enlarged number of models, the design of an assembly system becomes more complicated. Performance evaluation is an important phase in the design of assembly lines in a mixed model production environment. Simulation models helped us to identify production line bottlenecks and evaluate some number of suggested solutions.

Henderson Shane G. Should we model dependence and nonstationarity, and if so how? // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.120-129.
It can be difficult to develop, fit to data, and generate from, models that capture dependence and/or nonstationarity in simulation inputs. Should we bother? How should we go about it? I will discuss these issues, focusing on three examples: call center arrivals, ambulance travel speeds and wind modeling for America’s Cup races.

Herbert D. Agent-Based Models of Innovation and Technological Change // Handbook of Computational Economics / ed. by K.L. Judd and L. Tesfatsion. Elsevier. 2005. Vol. 2. P. 1235-1272.

Hertel E., Steinhauer D., Nienhuis U. Simulation of assembly production at shipyards, ICCAS, Busan, 2005. pp.121-134.

Hoffer L. (2005). Using Agent-based Modeling to Better Understand Local Heroin Dealing // Organizations and Drug Markets, Washington University.

Hollocks Brian. Assessing simulation learning in higher education // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2297-2303.
System simulation may be used as a valuable exemplar of modeling in degree programs across a range of disciplines. This paper describes and discusses an approach to assessing learning in that domain, relating it to Bloom’s and Biggs’ taxonomies. It uses a mini-project, scenario concept, evaluated through oral examination. The scenario text and grading plan are included in the paper. The approach is found to usefully differentiate across the full range of student performance.

Ingemansson Arne, Oscarsson Jan. Discrete-event simulation and automatic data collection improve performance in a manufacturing system // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1441-1445.
Data utilization from an automatic collection system helps simulation. DES (Discrete-Event Simulation) is a suitable tool in that respect. Improvements of a manufacturing system by reducing production disturbances in block engine line of a truck manufacturer were shown in a case study. The manufacturing line is equipped with an automatic data gathering system, collecting detailed information from each machine, such as Down Time. The collected data and the simulation model were used in finding bottlenecks in the system. The improvement groups of the company suggested improvements to these machines in collaboration with DES work. An improvement of 12% was achieved in the block line during two years. The long-term improvement work was profitable. Further potential with the method is investigated in a new case study.

Ivashkin Yu.А., Shcerbakov A.V., Rogozhkina E.A. Multi-agent simulation of disputed marketing situations. // 19-th European Conference on Modelling and Simulation. ECMS 2005. June 1-4, 2005, Riga, Latvia, p. 501-508.
This article examines multi-agent imitating model of interaction and choice of optimum pricing strategy of firms - oligopolists during competitive struggle for profit and market share. Methods, algorithms and program realization in universal imitating system Simplex3 (Schmidt 1996, 2001) agent - oriented imitation of interaction of competing elements in disputed marketing situations are described. The feature of agent-oriented models is that they describe individual characteristics of all participants of the market and their criterion functions on each step of interaction, instead of the average or generalized parameters of a condition. The considered imitating model of the market with suppliers and buyers of production opens the mechanism of the conflict and dynamics of interaction of competing elements - intellectual agents during his sanction and stabilization of a condition status of the marketing environment.

Jack G.A.J. van der Vorst, Seth Tromp, Durk-Jouke van der Zee. A Simulation Environment for the Redesign of Food Supply Chain Networks: Integrating Quality Controlled Logistics // Proceedings of the 2005 Winter Simulation Conference, p. 1658-1667.

Janota A., Rastocny K., Zahradnik J. (2005). Multi-agent approach to traffic simulation in NetLogo environment - Level Crossing model // Paper presented at the 5th International Conference Transport Systems Telematics TST '05, Silesian University of Technology.

Janota A., Spalek J., Hrbce J. (2005). NetLogo – prostredie na tvorbu multiagentových systémov a jeho využitie na simuláciu riadenia železničného priecestia // AT&P Journal, PLUS7.

Jian Sun, Xiaoguang Yang, Yunlong Ma. A new simulation model for expressway weaving sections evaluation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1766-1772.
Simulation of traffic flow is an effective tool for traffic system management, control and optimization, particularly in congested urban areas. TESS is an object oriented traffic simulation model with detailed representation of vehicles and their interactions. This paper presents the TESS simulator including the car-following model and new lanechanging procedures. Four weaving sections are simulated in TESS platform using field data come from Traffic Information Collecting System in Shanghai China. Compared with the CORSIM model, good results are obtained after using the calibrated TESS model in simulating weaving sections.

Johnson Rachel T., Fowler John W., Mackulak Gerald T. A discrete event simulation model simplification technique // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2172-2176.
Cycle Time – Throughput curves, which plot the average cycle time versus start rate for a given product mix, are often used to support decisions made in manufacturing settings, such as the impact of proposed changes in start rate on mean cycle time. Discrete event simulation is often used to generate estimations of cycle time at a significant number of traffic intensities (start rates). However, simulation often requires long run lengths and extensive output analysis. In most manufacturing environments, the time and/or budget available for such simulations is limited. As demands for faster and more accurate results are required, alternative approaches to improving simulation efficiency must be investigated. This research seeks to develop a procedure for simplifying a detailed model into a fast (abstract) simulation model that achieves a statistically indistinguishable level of accuracy and precision.

Joslin David, Poole William. Agent-based simulation for software project planning // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1059-1066.
In this paper we describe some preliminary attempts to adapt a simulation-based planning algorithm developed for planning experimental activities of Mars rovers to the problem of planning for software project management. Simulation techniques offer the potential for modeling the way agents behave in project development, and the way a manager might adapt the project plan based on the project status at future points, resulting in a tool that more accurately reflects the realities of software project management.

Joslin David, Frank Jeremy, Jуnsson Ari K., Smith David E. Simulation-based planning for planetary rover experiments // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1049-1058.
The use of simulation in planning is appealing because of its potential for representing complex, realistic details about the rover and its environment. We demonstrate a planning algorithm that performs high-level planning in a space of plan strategies, rather than actual plans. In the current implementation, candidate strategies are evaluated by a simple simulation, and a genetic algorithm is used to search for effective strategies. Preliminary results are encouraging, particularly the potential for modeling uncertainty about the time required to complete actions, and the ability to develop strategies that can deal with this uncertainty gracefully.

Jurishica Carley J. Emergency department simulations: medicine for building effective models // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2674-2680.
This paper will discuss proven practices for developing Emergency Department (ED) simulations based on recent project success. This paper will thoroughly analyze each step of a typical ED simulation project, identifying key areas of focus and tips for success. Defining the objective, process map, scenarios, outputs and animation requirements are the first steps. A system for gathering the ED data will be discussed, as well as advice for the verification and validation phases. Finally, the presentation of the findings will be analyzed. This paper will stress dependency of each phase on the successful outcome of the entire project.

Karpov Y., Ivanovski R., Popov D., Voropai N. Hierarchical Modeling of Electric Power System Expansion by AnyLogic Simulation Software // IEEE Conf on Electric Power Systems, St.Petersburg, 2005.

Keshtkar F., Gueaieb W., White A. (2005). An Agent-based Model for Image Segmentation // Paper presented at the 13th Multi-disciplinary Iranian Researchers Conference in Europe (IRCE'2005), Leeds, United Kingdom, July 2005.

Khouadjia M., Khanfouf H., Meshoul S. (2005). Une Approche adaptative pour la segmentation dÕimages: Implementation sur la plate-forme Multi-agents NetLogo // Working Paper, Laboratoire LIRE, Université Mentouri, Constantine, Algerie.

Koehler M., Tivnan B., Bloedorn E. (2005). Generating Fraud: Agent Based Financial Network Modeling // Paper presented at the NAACSOS Conference 2005, South Bend, IN, June 26-28.

Koehler M., Tivnan B., Upton S. (2005). Clustered Computing with NetLogo and Repast J: Beyond Chewing Gum and Duct Tape // Paper presented at the Agent2005 conference, Chicago, IL.

Komashie Alexander, Mousavi Ali. Modeling emergency departments using discrete event simulation techniques // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2681-2685.
This paper discusses the application of Discrete Event Simulation (DES) for modeling the operations of an Emergency Department (ED). The model was developed to help the ED managers understand the behavior of the system with regard to the hidden causes of excessive waiting times. The results of this work also helped managers to either reverse or modify some proposed changes to the system that were previously being considered. The results also show a possible reduction of more than 20% in patients’ waiting times.

Kopf S., Scheele N., Winschel L., Effelsberg W. (2005). Improving Activity and Motivation of Students with Innovative Teaching and Learning Technologies // International Conference on Methods and Technologies for Learning (ICMTL).

Krahl David. Debugging simulation models // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.62-68.
While much has been written about model validation and verification, the actual process of correcting, or debugging, a model is presented as an afterthought. This paper will describe different types of bugs and will present techniques, drawn from both the simulation modeling and application programming worlds, for determining the cause of an error in the model.

L’Ecuyer Pierre, Buist Eric. Simulation in java with SSJ // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.611-620.
We describe SSJ, an organized set of software tools offering general-purpose facilities for stochastic simulation programming in Java. It supports the event view, process view, continuous simulation, and arbitrary mixtures of these. Random number generators with multiple streams and substreams, quasi-Monte Carlo methods and their randomizations, and random variate generation for a rich selection of distributions, are all supported in an integrated framework. Performance, flexibility, and extensibility were key criteria in the design and implementation of SSJ. We illustrate its use by simple examples.

Lada Emily K., Steiger Natalie M., Wagner Mary Ann, Wilson James R. Introduction to modeling and generating probabilistic input processes for simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.41-55.
Techniques are presented for modeling and generating the univariate and multivariate probabilistic input processes that drive many simulation experiments. Among univariate input models, emphasis is given to the generalized beta distribution family, the Johnson translation system of distributions, and the Bezier distribution family. Among bivariate and higher-dimensional input models, emphasis is given to computationally tractable extensions of univariate Johnson distributions. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Poisson processes.

Lauberte I. (2005). Using of cellular automata in agent-based simulation for regional development // Paper presented at the 6th Conference on Baltic Studies in Europe, Valmiera, June 17-19, pp. 99-104.

Laver M. (2005). Policy and the dynamics of political competition // American Political Science Review, 99(2), pp.263-281.
This paper proposes a model that takes the dynamic agent-based analysis of policy-driven party competition into a multiparty environment. In this, voters continually review party support and switch parties to increase their expectations; parties continually readapt policy positions to the shifting affiliations of voters.

Law Averill M. How to build valid and credible simulation models // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.24-32.
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision maker on a regular basis, development of a written conceptual model, structured walk-through of the conceptual model, use of sensitivity analysis to determine important model factors, and comparison of model and system output data for an existing system (if any). We will also discuss the difficulty in using formal statistical techniques to validate simulation models.

Le Q.B. (2005). Multi-agent system for simulation of land-use and land-cover change: a theoretical framework and its first implementation for an upland watershed in the Central Coast of Vietnam // Ecology and Development Series 29. Gottingen: Cuvillier Verlag.

Lea B.R., Gupta M.C., Yu W.B. A prototype multi-agent ERP system: an integrated architecture and a conceptual framework //Technovation. – 2005. – 1. 25. –T. 4. – P. 433-441.

Lee Seung Man, Ravinder Ujwala, Johnston James C. Developing an agent model of human performance in air traffic control operations using apex cognitive architecture // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.979-987.
For the analysis of large-scale complex systems, agent based modeling and simulation has proven to provide a valuable research tool. This paper reports on the development of agent models with human-like performance characteristics using a cognitive architecture. We present an agent model of an air traffic controller that is developed and incorporated into an agent-based simulation of the national airspace to support the design and evaluation of advanced air transportation concepts.

Leow-Sehwail Yen-Ping, Ingalls Ricki G. Qualitative discrete event simulation // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.648-653.
A real world system is full of uncertainties and more than often the parameters, processes or events under study are poorly understood. In order to study a real world system, we often have to make a set of assumptions about how it works using statistical, mathematical or logical relationships. Qualitative discrete event simulation involves the development of simulation models which require less assumptions, less data requirements and yet more robust. This paper presents the concepts involved in the development and implementation of qualitative discrete event simulation models and algorithms.

Levy S.T., Wilensky U. (2005). Students' patterns in exploring NetLogo models, embedded in the Connected Chemistry curriculum // In J. Gobert (Chair) and J. Pellegrino (Discussant), «Logging students' learning in complex domains: Empirical considerations and technological solutions.» Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.

Lu Ming, Wong Lap-Chi. Comparing PROMODEL and SDESA in modeling construciton operations // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1524-1532.
The research presented applies the PROMODEL alongside a simplified discrete-event simulation approach (SDESA) and its software platform resulting from in-house construction research for modeling typical construction operations. The characteristics and modeling needs for construction and manufacturing systems are compared in general. A simple earth-moving operation and a real site operation integrating concreting and waste handling practices serve as case studies to illustrate the features, advantages, and limitations of PROMODEL and SDESA. It is found that SDESA can adequately, precisely depict the construction operations with much less learning and modeling efforts compared with PROMODEL.

Luce Karl, Trepanier Lucie, Ciochetto Fred, Goldman Lawrence. Simulation and optimization as effective DFSS tools // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1993-1999.
Simulation and optimization techniques can provide Design for Six Sigma (DFSS) practitioners with reduced reliance on physical prototypes, rapid time-to-market, minimal defects and post-design rework. These advantages lead to quantifiable benefits within the product development lifecycle, in terms of time and cost. Through one case study, this paper will provide Six Sigma, Process Excellence and Lean practitioners with the rationale for spreadsheet simulation and optimization in DFSS initiatives. Discussion topics include the role of simulation and optimization in the DMADV methodology, disadvantages of not quantifying uncertainty in DFSS projects, differences between deterministic and stochastic optimization, and tradeoff considerations when running optimizations.

Maas Sara L., Standridge Charles R. Applying simulation to interactive manufacturing cell design // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1392-1400.
Launching a manufacturing cell to be efficient and lean, yet profitable, is a time-consuming process and is often based on many assumptions. We have developed a generic simulation model and associated capacity analysis, schedule planning, and target inventory setting software to support the computer based assessment of the operation of cells typical to the plastic manufacturing industry before capital investments are finalized. Model input describes a particular cell, the products it produces, and customer demand for these products. Results show the customer service level, product inventory levels, equipment utilization, and the daily production schedule. All software is integrated in a single simulation environment.

Macal Charles M., North Michael J. Tutorial on agent-based modeling and simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2-15.
Agent-based modeling and simulation (ABMS) promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support their research. Some have gone so far as to contend that ABMS is a third way of doing science besides deductive and inductive reasoning. This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing ABMS models, and provides some thoughts on the relationship between ABMS and traditional modeling techniques.

Maroulis S., Wilensky U. (2005). Modeling school districts as complex adaptive systems: A simulation of market-based reform // Paper presented at the 3rd Lake Arrowhead Conference on Human Complex Systems. Lake Arrowhead, CA, May 18-22.

Merks R. Glazier J. (2005). A cell-centered approach to developmental biology // Physica A. 352(1), 1 July 2005, pp.113–130.

Michel F., Beurier G., Ferber J. (2005). The TurtleKit Simulation Platform: Application to Multi-Level Emergence // First International Conference on Signal-Image Technology & Internet-Based Systems (Workshop Sessions), Hilton Hotel, Yaoundé, Cameroon, November 27th - December 1st, 2005.

Mizuta Hideyuki, Nakamura Fusashi. Agent-based simulation of enterprise communication network // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2590-2594.
In this paper, we consider an agent-based simulation of dynamic enterprise organization and communication networks. Along with recent progress and popularization of Information Technology, social sciences have been experiencing great advances in survey methodology. It has become possible for researchers to utilize huge social data with computers. However, there have been only conceptual studies in business school and few quantitative studies about enterprise organizations. Utilizing the agent-based approach, we have constructed a dynamic model and simulation of communication over an organization structure. The result of the simulation indicates the power distribution for link degrees which is also observed in the real world as universal characteristics of the scale-free network.

Morokoff William J. Simulation analysis of correlation and credit migration models for credit portfolios // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1827-1834.
The market for derivatives such as first-to-default baskets and CDO tranches on portfolios of corporate credit exposures has grown rapidly in recent years. Various models for capturing portfolio correlation effects have been introduced, with Default Time models becoming the most widely used. While attractive for their relative simplicity and ability, in some cases, to allow fast computation of hedge ratios, there is increasing concern around the limitations and implications of these models. This paper uses simulation to study the effects of credit migration and correlation assumptions underlying the models for valuation of derivatives on credit portfolios.

Morokoff William J. Simulation of risk and return profiles for portfolios of CDO tranches // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1844-1848.
Investments in Collateralized Debt Obligations (CDOs) often offer attractive yields relative to other similar debt instruments (corporate bonds, etc.). However, the risk profiles of CDO investments, and in particular portfolios of these investments, can be substantially different from straight credit portfolios due to complex correlation dependence across CDOs. Simulation is generally required to capture the intricate interaction of default and correlation risk that determines the risk and return profile of a portfolio of CDO investments. This paper considers some of the issues that must be addressed in determining the risk profiles with simulation and presents results on a simple example.

Morrice Douglas J., Valdez Richard A., Chida Jack P., Eido Missan. Discrete event simulation in supply chain planning and inventory control at Freescale Semiconductor, Inc. // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1718-1724.
The supply chain of Freescale Semiconductor from fabrication through final test and delivery was modeled and analyzed using discrete event simulation in Arena. Freescale starts products in manufacturing based on a make-to-order and make-to-stock master production schedule. Since customer lead time is often less than the supply chain cycle time, Freescale maintains strategic safety stock throughout the supply chain and as finished goods inventory. Manufacturing entry rate is determined by the amount of product in WIP and inventory. Our analysis concentrates on the relationship between on-time delivery in the major supply chain segments and on-time delivery to the customer in an environment of significant inventory and WIP level changes.

Morrison D., Dennis B. (2005). MetaLab: supporting social grounding and group task management in CSCL environments through social translucence // Proceedings of the Proceedings of the 2005 conference on Diversity in computing (pp. 20-22). Albuquerque, New Mexico, USA: ACM.

Mosca Roberto, Cassettari Lucia, Revetria Roberto, Magro Gianluca. Simulation as support for production planning in small and medium enterprise: a case study // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2443-2448.
The proposed application is related to an Italian small factory that produces, assembles, and sells mechanical components for awnings. In such factories Business Process Engineering usually takes place without the support of Modeling & Simulation although such methodologies have proved to be very effective and helpful. Main reasons for that have to be investigated in the high costs usually associated with a simulation study, especially for data collection, model building and model validation. In order to avoid this problem a general-purpose simulation framework was designed enabling self-build according to production process information stored in a relational database. Authors applied the proposed schema to several industrial applications obtaining interesting results.

Muscalagiu I., Horia-Emil P., Panoiu M. (2005). Determining the Number of Messages Transmitted for the Temporary Links in the Case of ABT Family Techniques // Paper presented at the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), Timisoara, Romania September 25-29, 2005.

Mutschler David W. Language based simulation, flexibility, and development speed in the joint integrated mission model // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1190-1197.
The Joint Integrated Mission Model (JIMM) uses generic system components and a simulation language that allows developers to program specific system, platform, and player characteristics, tactics, and doctrine. This permits great flexibility in simulation design and rapid modification of system types in complex simulations. However, the time and expense of developing complex simulations can be longer than desired. In addition, a graphics user interface (GUI) can also facilitate reuse and perform some functions faster and more easily than can be achieved directly through simulation language text editing. This paper will discuss efforts in simulation construction, simulation reuse, and GUI development currently undertaken by the JIMM Model Management Office.

Nan N., Johnston E., Olson J., Bos N. (2005). Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses // Paper presented at the Conference on Human Factors in Computing Systems, Portland, OR.

Nicol David M., Liljenstam Michael, Liu Jason. Advanced concepts in large-scale network simulation // Proceedings of the 2005 Winter Simulation Conference M E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.153-166.
This tutorial paper reviews existing concepts and future directions in selected areas related to simulation of large-scale networks. It covers specifically topics in traffic modeling, simulation of routing, network emulation, and real-time simulation.

North M.J. Andmasal C.M. 2005. Escaping the accidents of history: An overview of artificial life modeling with Repast. In Artificial Life Models in Software, A. Adamatzky and M. Komosinski, Eds. Springer, Heidelberg, Germany. P.115–141.

Nutaro James. Constructing multi-point discrete event integration schemes // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.267-273.
The systematic study of discrete event numerical integration schemes can be greatly aided by an understanding of their general form. This paper describes the structure of DEVS models that can be used to construct multi-point discrete event integration methods. The structure is shown to be sufficient for describing two known methods. The utility of the structure is illustrated by the construction of a new, second order accurate, multi-point discrete event integrator.

Ohshima Y. (2005). Kedama: A GUI-Based Interactive Massively Parallel Particle Programming System // Visual Languages and Human-Centric Computing, 2005 IEEE Symposium on, pp.91-98.

Okol'nishnikov V.V., Rudometov S.V. Simulation of Complex Transportation Systems // Proc. of the Second IASTED International Multi-Conference SOFTWARE ENGINEERING (ACIT-SE) (June 20-24, 2005). — Novosibirsk, 2005. — p. 60–64.

Pereira G.M. (2005). The effects of functional diversity in spatially distributed geographic domains // Paper presented at the Geocomputation 2005 conference.

Perumalla Kalyan S., Fujimoto Richard M., Thakare Prashant J., Pande Santosh, Karimabadi Homa, Omelchenko Yuri, Driscoll Jonathan. Performance prediction of large-scale parallel discrete event models of physical systems // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.356-364.
A virtualization system is presented that is designed to help predict the performance of parallel/distributed discrete event simulations on massively parallel (supercomputing) platforms. A case study of the virtualization system is presented in the context of plasma physics simulations, highlighting important virtualization challenges and issues, such as reentrancy and synchronization in the virtual plane, and our corresponding solution approaches. A trace-based prediction methodology is presented, and is evaluated with a 1-D hybrid collisionless shock model simulation, with the predicted performance being validated against one obtained in actual simulation. Predicted performance measurements show excellent agreement with actual performance measurements on parallel platforms containing up to 512 CPUs.

Powell Warren B. The optimizing-simulator: merging simulation and optimization using approximate dynamic programming // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.96-109.
There has long been a competition between simulation and optimization in the modeling of problems in transportation and logistics, machine scheduling and similar high dimensional problems in operations research. Simulation strives to model operations, often using rule-based logic. Optimization strives to find the best possible solution, minimizing costs or maximizing profits. In this tutorial, we show how these two modeling technologies can be brought together, combining the flexibility of simulation with the intelligence of optimization.

Ramamurthi Vikram, Kuhl Michael E., Hirschman Karl D. Analysis of production control methods for semiconductor research and development fabs using simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2177-2185.
A semiconductor company must bring technology to the market as soon as its application is deemed feasible to be a leader in the industry. The goal of this paper is to investigate production control methods in semiconductor R&D fabs to minimize the time to market for the aforementioned technology. Simulation models of a representative R&D fab are run with different levels of bottleneck utilization, lot priorities, primary and secondary dispatching strategies and due date tightness as treatment combinations in a formally designed experiment. The fab performance measures are percent on time delivery, average cycle time, standard deviation of cycle time and average work-in-process. Fab characteristics are found to influence the application of dispatching rules.

Rand W., Brown D., Riolo R., Robinson D. (2005). Toward a graphical ABM toolkit with GIS integration // Paper presented at the Agent2005 Conference, Chicago, IL, October 13-14.

Rice Stephen V., Markowitz Harry M., Marjanski Ana, Bailey Stephen M. The Simscript III programming language for modular object-oriented simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.621-630.
SIMSCRIPT III is a programming language for discrete event simulation. It is a major extension of its predecessor, SIMSCRIPT II.5, providing full support for object-oriented programming and modular software development.

Rincon G., Alvarez M., Perez M. & Hernandez S. (2005). A discrete-event simulation and continuous software evaluation on a systemic quality model: An oil industry case. In: Information & Management, 42, pp. 1051-66.

Robertson D.A. (2005). Agent-Based Modeling Toolkits NetLogo, RePast, and Swarm // Academy of Management Learning and Education, 4(4), pp.525-527.

Roggenkamp David B., Park Dave, Tsimhoni Omer. A simulation model for facilitators of tony Rizzo’s bead game // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.621-630.
As the culmination of a simulation course at the University of Michigan, we simulated the physical structure and outcomes of Tony Rizzo’s Bead Game. The game is a pedagogic tool to teach the effects of multitasking in a multi-project environment. During the game, time constraints limit the scope of the activity. Since the outcomes are fairly dramatic, many participants have a difficult time believing that the results they witnessed are truly representative of «typical» outcomes. The simulation model of the game was conceived as an opportunity to provide a more robust example of outcomes including the ability to demonstrate probabilistic distributions as well as potential extensions to the parameters of the game. In practice, the simulation model was effective in duplicating the observed game outcomes.

Rohl Mathias, Uhrmacher Adelinde M. Flexible integration of xml into modeling and simulation systems // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1813-1820.
As the effort towards standardization of formalism representations increases so does the need for verifying whether models do or do not follow a standard. Data binding allows to systematically exploit XML and its associated technologies for modeling and simulation purposes. Based on the schema definition of a formalism, a binding compiler generates model classes that support the user in constructing models according to the formalism. Most constraints can be checked automatically, few require separate efforts by the designer of the simulation system. Although simulators could be build for these declarative model descriptions, they would be hardly efficient. To this end, a separate transformation component is required. In this overall process, both model specifications that are consistent with a formalism definition and models that can be executed efficiently are supported equally.

Sadowski Deborah A. Tips for successful practice of simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.56-61.
Succeeding with a technology as powerful as simulation involves much more than the technical aspects you may have been trained in. The parts of a simulation study that are outside the realm of modeling and analysis can make or break the project. This paper explores the most common pitfalls in performing simulation studies and identifies approaches for avoiding these problems.

Sanchez Susan M. Work smarter, not harder: guidelines for designing simulation experiments // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.69-82.
We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. We focus on experiments that can cut down the sampling requirements of some classic designs by orders of magnitude, yet make it possible and practical to develop an understanding of a complex simulation model and gain insights into its behavior. Designs that we have found particularly useful for simulation experiments are illustrated using simple simulation models, and we provide links to other resources for those wishing to learn more.

Sanjay Jain, Swee Leong. Stress Testing a Supply Chain Using Simulation // Proceedings of the 2005 Winter Simulation Conference, p. 1650-1657.

Sargent Robert G. Verification and validation of simulation models // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.130-143.
In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described; two different paradigms that relate verification and validation to the model development process are presented; various validation techniques are defined; conceptual model validity, model verification, operational validity, and data validity are discussed; a way to document results is given; a recommended procedure for model validation is presented; and accreditation is briefly discussed.

Sarjoughian Hessam S., Wang Wenlin, Huang Dongping, Rivera Daniel E., Godding Gary W., Kempf Karl G., Mittelmann Hans D. Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.256-266.
In this paper, we describe an environment that synthesizes Discrete-Event System specification (DEVS) with Model Predictive Control (MPC) paradigms using a Knowledge Interchange Broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

Schriber Thomas J., Brunner Daniel T. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.167-177.
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and entity-list management. The implementation of these generic ideas in AutoMod, SLX, and Extend is described. The paper concludes with several examples of «why it matters» for modelers to know how their simulation software works, including coverage of SIMAN (Arena), ProModel and GPSS/H as well as the other three tools.

Seifert Michael J. The use of discrete event simulation in a design for six sigma project // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2000-2004.
This paper describes how a risk event to customer satisfaction for a food service facility was identified, validated, and eventually mitigated through the use of a discrete event simulation as part of a Design for Six Sigma project. Further described is how simulation was utilized to identify leading indicators to the risk event, to give pre-warning of the occurrence as well as to perform what if tests to validate mitigation practices and contingency plans. The results presented demonstrate how a simulation model coupled with Six Sigma can design a superior process in regards to predictability and reliability.

Seila Andrew F. Spreadsheet simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.33-40.
«Spreadsheet simulation» refers to the use of a spreadsheet as a platform for representing simulation models and performing simulation experiments. This tutorial explains the reasons for using this platform for simulation, discusses why this is frequently an efficient way to build simulation models and execute them, describes how to setup a spreadsheet simulation, and finally examines some limitations on the use of spreadsheets for simulation.

Sengupta P., Wilensky U. (2005). N.I.E.L.S: An emergent multi-agent based modeling environment for learning physics // Paper presented at the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands.

Shaker A., Reeves D.S. (2005). Self-Stabilizing Structured RingTopology P2P System // Paper presented at the Fifth IEEE International Conference on Peer-to-Peer Computing (P2P'05).

Sokolov B.V. Dynamic models of comprehensive scheduling for ground-based facilities communication with navigation spacecrafts // 16th IFAC Symposium on Automatic Control in Aerospace, June14-18, 2004, Saint-Petersburg, Russia, A Proceedings Volume1, Published for IFAC by Elsevier Limited, Kidlington, Oxford OX5 1GB, UK.

Sokolov B.V., Ivanov D., Käschel J., Arkhipov A, Zschorn L. Quantitative Models of Collaborative Networks // In: Collaborative Networks and Their Breeding Environments, edited by L.Camarihna-Matos, H. Afsarmanesh, A. Ortiz, Springer, 2005.

Sokolov B.V., Zaychik Е, Verzilin D. Integrated modeling of structure-dynamics control in complex technical systems // 19 th European Conference on Modeling and Simulation ESMS 2005, “Simulation in Wider Europe”, June 1-4, 2005, Riga, Latvia, Proceedings, Riga Technical University, 2005.

Sokolov B.V., Zaychik Е, Yusupov R.M. Principles, Models, Methods and Algorithms for the Structure Dynamics Control of Complex Technical Systems // International Conference on Computational Science and its Applications, ICCSA 2005, 9-12 May, Singapur, 2005.

Spry Charles W., Lawley Mark A. Evaluating hospital pharmacy staffing and work scheduling using simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2256-2263.
With increasing healthcare costs, an aging population, and a shortage of trained personnel it is becoming increasingly important for hospital pharmacy management to make good operational decisions. In the case of hospital inpatient pharmacies, making decisions about staffing and work scheduling is difficult due to the complexity of the systems used and the variation in the orders to be filled. In order to help BroMenn Healthcare make decisions about staffing and work scheduling a simulation model was created to analyze the impact of alternate work schedules. The model estimates the effect of changes to staffing and work scheduling on the amount of time medication orders take to process. The goal is to use the simulation to help BroMenn find the best schedule to get medications to the patients as quickly as possible by using pharmacy staff effectively.

Stahl Ingolf. Using discrete event simulation in the teaching of decision analysis // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2280-2289.
In this paper we discuss how Discrete Event Simulation (DES) was used in a course on Decision Analysis (DA). Against the background of the characteristics of the students and the purpose of the course, we discuss various types of problems and methods that were found suitable to include in the course, in order to show the place of DES in DA. We present a number of simple GPSS programs that have been used in the course and proved effective in promoting the students’ understanding of DA.

Standridge Charles R., Centeno Martha A., Johansson Bjorn, Stahl Ingolf. Introducing simulation across the disciplines // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2274-2279.
How to introduce simulation is a fundamental educational issue in a variety of disciplines including industrial engineering and operations management as well as product design and manufacturing. This panel will discuss, compare, and contrast various perspectives and experiences concerning introducing simulation to undergraduate and graduate students. Topics considered by the panel include the fundamental purposes of a first simulation course, modeling and analysis assignments that are given, examination topics, laboratory content, and term project experiences.

Steinhauer D. SAPP – Simulation aided production planning at Flensburger // 4th Int. Conf. Computer Applications and Information Technology in the Maritime Industries (COMPIT), Hamburg. 2005.

Stieff M., Bateman Jr., R. C., Uttal D. (2005). Teaching and Learning with Three-dimensional Representations // In J. K. Gilbert (Ed.) Models and Modeling in Science Education (Vol 1, 93-120). Springer: Netherlands.

Stirling D. (2005). Modeling complex systems // Paper submitted to the Advanced International Colloquium on Building the Scientific Mind.
This paper offers a brief description and summary of the characteristics of complex adaptive systems. The use of computer software such as StarLogo and NetLogo is presented as a powerful way to explore the dynamics of such systems. The author suggests that these computer programs can vitally enhance the development of the scientific mind in users within a wide range of ages and levels of experience.

Swain J.J. Gaming Reality: Biennial survey of discrete event simulation software tools, OR/MS Today, Vol. 32, No. 6, 2005, pp. 44-55.

Takakuwa Soemon, Okada Takako. Simulation analysis of inbound call center of a city-gas company // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2026-2033.
An inbound call center of a city-gas company was simulated to examine the proper target of the service level procedures were proposed to find the optimal number of agents, considering their skills and the scheduling of the agents to meet the frequency of customer calls. First, integer programming was adopted to obtain an initial feasible solution. Second, a special-purpose system was designed and developed to modify planned recesses for each agent. Then, optimal solutions were obtained by performing simulation together with direct-search methods. The proposed procedure was applied to a real case in order to confirm its effectiveness.

Tenorio M., Nassar S., Freitas P., Magno C. (2005). Recognition of continuous probability models. In: Proceedings of the Winter Simulation Conference, pp. 2524-2531.

Tivnan Brian F. Coevolutionary dynamics and agent-based models in organization science // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1013-1021.
This paper provides empirical and theoretical support for the application of coevolutionary dynamics and agent based models in organization science.

Treadwell Mark A., Herrmann Jeffrey W. A kanban module for simulating pull production in ARENA // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1413-1417.
In the short timeline of rapid improvement events (kaizen events), it is difficult to use the full power of simulation because of the time required to construct models, particularly if the system uses pull production control methods such as kanbans. This paper describes multiple ways to model pull production control and compares them on measures related to model construction and execution. A kanban workstation module significantly reduces the time required to develop a pull production model, which makes simulation more useful as a decision-making tool in rapid improvement events.

Uhrmacher Adelinde M., Priami Corrado. Discrete event systems specification in systems biology - a discussion of stochastic PI calculus and DEVS // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.317-326.
The goal of Systems Biology is to analyze the behavior and interrelationships between entities of entire functional biological systems. Discrete event approaches are of particular interest if small numbers of entities, like DNA molecules, shall be modeled. Two general approaches toward discrete event modeling and simulation are presented. They provide rather different perspectives on the system to be modeled, as is illustrated based on a model of the Trypophan Operon. Whereas in Devs distinctions are emphasized, e.g. between system and its environment, between structural and non structural changes, between properties attributed to a system and the system itself, these distinctions become fluent in the compact description of the π-Calculus. However, both share the problem that in order to support a comfortable modeling, adaptations and extensions according to the concrete requirements of this challenging application area are needed.

Valentin Edwin C., Steijaert Sicco, Bijlsma Rienk A., Silva Piero. Approach for modelling of large maritime infrastructure systems // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1577-1585.
Simulation studies for large infrastructure systems often consists of a large number of experiments. Performing all experiments, and the required adjustments to simulation models, is time consuming. In addition it is difficult to keep track of all performed experiments and compare the outcome of these experiments. These issues can be clearly identified by observing a simulation study at the port of Tanger which is performed in the traditional way. In this paper we describe an alternative approach for performing simulation studies regarding large maritime infrastructure systems. This approach includes the use of a domain specific template developed in the simulation environment Arena and a database tool that enables creation, evaluation and managing simulation experiments.

van Beers Wim C.M. Kriging metamodeling in discrete-event simulation: an overview // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.202-208.
Many simulation experiments require considerable computer time, so interpolation is needed for sensitivity analysis and optimization. The interpolating functions are ‘metamodels’ (or ‘response surfaces’) of the underlying simulation models. For sensitivity analysis and optimization, simulationists use different interpolation techniques (e.g. low-order polynomial regression or neural nets). This paper, however, focuses on Kriging interpolation. This paper discusses Kriging for sensitivity analysis in simulation, including methods to select an experimental design for Kriging interpolation.

van der Vorst Jack G.A.J., Tromp Seth, van der Zee Durk-Jouke. A simulation environment for the redesign of food supply chain networks: modeling quality controlled logistics // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1658-1667.
Nowadays, many industries are confronted with intensified global competition as well as advances in information and process technology. They create both the need and opportunity for a coordinated approach of industrial partners to establish effective and efficient supply chains. Simulation tools are often used for supporting decision-making on supply chain (re)design, building on their inherent modeling flexibility. However, food supply chains set some specific requirements to simulation models. To address these demands a new discrete event simulation environment called ALADIN has been developed. A case example concerning a supply chain for peppers is presented to illustrate the applicability and advantages of the tool.

van der Zee Durk-Jouke, Slomp Jannes. Simulation and gaming as a support tool for lean manufacturing systems – a case example from industry // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2304-2313.
In this article we illustrate how simulation and gaming can be used to support lean manufacturing systems. More in particular we study a case example from industry – a manual assembly line for mail-inserting systems – for which we have developed a simulation game. This paper focuses on the development steps of the simulation game. The objective of the game is to support the introduction of lean principles in an existing assembly line. The simulation game can be used to demonstrate applicability of a lean control concept at the assembly line and to train workers to make appropriate control decisions within this concept. In this paper, we indicate a definite need for the development of this game.

van Rensburg Johan J., He Yi, Kleywegt Anton J. A computer simulation model of container movement by sea // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1559-1566.
We describe a computer simulation model of ocean container carrier operations. The simulation is called SimSea and was developed through collaboration between the CSIR, a research organisation in South Africa, and the Georgia Institute of Technology. SimSea simulates the transport of containers by container vessels. Containers are transported from container depots to customers. The customers load the containers, and thereafter the containers are transported to the ports. At the ports the containers are loaded onto and offloaded from vessels, and the vessels transport the containers between ports according to the vessels’ schedules. Containers are transported from the ports to receiving customers who unload the containers, and from there the empty containers are transported to container depots.

Wallace Rodney B., Saltzman Robert M. Comparing skill-based routing call center simulations using C programming and ARENA models // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2636-2644.
This paper describes the modeling of a skill-based routing call center using two distinct simulation programming methods: the C language and the Arena software package. After reviewing the features of this type of call center, we describe the salient components of each method in modeling the call center. The paper concludes with a comparison of the pros and cons of using each simulation programming approach in this context.

Walton David J., Paulo Eugene P., McCarthy Christopher J., Vaidyanathan Ravi. Modeling force response to small boat attack against high value commercial ships // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.988-991.
This study examines ways to prevent the success of a small boat attack against a larger high value commercial vessel, or high value unit, through the utilization of an agent-based simulation. The geographic area of concern is the Straits of Malacca. An essential element of the scenario is the limited time available to act against the attackers. Subsequently, the two alternatives considered are the deployment of patrol craft, as well as the placement of well-armed Sea Marshals on each high value ship.

Wang Ying, Zhou Chen. Fluid based simulation model for high volume dc conveyor systems // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1373-1380.
In this paper, we present a fluid simulation methodology applying to high volume large conveyor networks operating in a slowly changing environment, often found in large distribution centers. Traditional discrete-event cell-based approach to simulate such networks becomes computationally challenging due to large number of events resulting from high WIP level, complex network and large conveyor footprint. The fluid simulation model is built on a Petri-Net based framework. We present the model and investigate the feasibility in modeling capability in terms of input and release control logics, performance evaluation and computational savings.

Weber Julie S., Pollack Martha E. Simulating users to support the design of activity management systems // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1043-1048.
We describe a simulation system that models the user of a calendar-management tool. The tool is intended to learn the user’s scheduling preferences, and we employ the simulator to evaluate learning strategies. The simulated user is instantiated with a set of preferences over local and global features of a schedule such as the level of importance of a particular meeting and the amount of preparation time available before it is to begin. The system then processes a set of simulated meeting requests, and over time and through user feedback, it learns the user’s preferences, affording it the ability to thereafter manage the user’s schedule more autonomously.

Wheeler S. (2005). On the Suitability of NetLogo for the Modelling of Civilian Assistance and Guerrilla Warfare // DSTO Science Systems Laboratory.

Wijewickrama Athula, Takakuwa Soemon. Simulation analysis of appointment scheduling in an outpatient department of internal medicine // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2264-2273.
Long waiting times for treatment in the outpatient department of internal medicine, followed by short consultations has long been a complaint of patients. This issue is becoming increasingly important in Japan with the progressively aging society. In this context, a discrete event simulation model to examine various appointment schedules in a mixed-patient type environment in an outpatient department of a general hospital was developed. A special purpose data generator was designed to validate the model and to conduct experiments in bottleneck situations at consultation rooms in the existing system.

Xie C. (2005). Molecular Dynamics Simulations Beyond the Lennard-Jones Particles // Submitted to the American Journal of Physics.

Zhang Tiequan, Rohlfs Rori, Schwartz Russell. Implementation of a discrete event simulator for biological self-assembly systems // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2223-2231.
We have implemented a simulation tool for the study of computationally challenging biological self-assembly systems, particularly viral protein shells. The simulator implements a generic model of self-assembly based on simple local binding interactions to specify the behavior of complex self-assembly reactions. Recently developed discrete event methods allow for fast quantitative simulation of these systems. The new simulator uses the Java language to implement the model in a portable, interactive graphical tool. This paper discusses the simulator model, the theoretical basis for its efficient operation, and implementation issues in its design. It also discusses empirical validation of the simulator package and presents sample applications.

Zhizhou Wu, Jian Sun, Xiaoguang Yang. Calibration of VISSIM for shanghai expressway using genetic algorithm // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2645-2648.
This paper presents how an optimal optimization method, Genetic Algorithm, is applied for finding a suitable combination of VISSIM parameters. The North-South Expressway is investigated and simulated in VISSIM platform using field data obtained from Traffic Information Collecting System in Shanghai.

Аксенов К.А., Клебанов Б.И., Гончарова Н.В. Применение к системе сбалансированных показателей аппарата экспертных систем // Труды международной научно-практической конференции «СВЯЗЬ-ПРОМ 2005» в рамках 2-го Евро-Азиатского международного форума «СВЯЗЬ-ПРОМЭКСПО 2005». Екатеринбург: ЗАО «Компания Реал-Медиа», 2005. c.69-73.

Александров А.А. Организация распределенного имитационного моделирования // Материалы VII Школы-семинара молодых ученых «Математическое моделирование и информационные технологии», ИДСТУ СО РАН, Иркутск, 2005, c.6.

Антонова Г.М., Цвиркун А.Д. Оптимизационно имитационное моделирование для решения проблем оптимизации современных сложных производственных систем// Проблемы управления. 2005. – № 5. – С.19-27.

Афонин П.В., Тарасов В.Б. Многоагентная система на основе подходов искусственной жизни: приложение к поиску на графе // Труды 3-го Международного семинара «Интегрированные модели и мягкие вычисления в искусственном интеллекте», Физматлит, Москва, 2005, с. 212-219.

Бабкин Е.А. Событийные модели дискретных систем // Деп. в ВИНИТИ 14.01.05, № 30–В, 2005 / Курский государственный университет, Курск, 2005, 18 с.

Бигдан В.Б., Пепеляев В.А., Сахнюк М.А. О методолого-технологических аспектах последовательного имитационного моделирования // Материалы первой международной научно-технической конференции «Моделирование и компьютерная графика» (4-7 октября 2005 года), Донецк, Украина, с. 170-176.
В доповіді розглядаються особливості розробки та реалізації проблемно-орієнтованих застосувань, що базуються на методології та технологіях послідовного імітаційного моделювання.

Валуев А.М. Имитационное моделирование реализации календарных планов открытой угледобычи // Горный информационно-аналитический бюллетень. — 2005. — №6. — С. 192–195.

Ваняшин С.В. Исследование моделей операторского центра при обслуживании разноприоритетных вызовов // Тезисы докладов LX научная сессия, посвященная Дню радио, Москва, 2005, с.47-49.

Ваняшин С.В. Методы и подходы к имитационному моделированию контакт-центров // Тезисы докладов 1-го Международного форума молодых ученых и студентов «Актуальные проблемы современной науки», Самара, 2005, с.31-33.

Волович Георгий. Моделирование однотактных DC/DC-преобразователей в пакете VisSim // Современная электроника. № 3 2005. С.56-61.
В статье описаны основные принципы моделирования силовых схем и систем управления однотактных импульсных DC/DC-преобразователей в пакете VisSim. Приведены блок-схемы моделей понижающих, повышающих и инвертирующих преобразователей с учётом входных и выходных фильтров, а также блок-схемы систем управления.

Гончаров А.Н., Смородин В.С. Формализация технологических процессов опасного производства на основе теории принятия решений // Известия Гомельского гос. ун-та им. Ф. Скорины. — 2005. — № 5 (32). — С. 23–26.

Горбач В.Д., Плотников А.М., Долматов М.А., Любимова И.Е. Практическое использование методов имитационного моделирования для анализа производственных процессов в сложных технических системах. // Сборник докладов VI Всероссийской научно-практической конференции МОРИНТЕХ-ПРАКТИК «Информационные технологии в судостроении-2005», Санкт-Петербург , 2005, с.86-88.

Девятков В.В. Власов С.А. Имитационное моделирование в России: прошлое, настоящее, будущее // Автоматизация в промышленности. – 2005. – №5 май. – С. 63-65.

Ермошин Д.В. Имитационное моделирование как метод анализа сложных систем // Сборник научных трудов «Социально-экономическое развитие России. Проблемы, поиски, решения.» по итогам научно-исследовательской работы Саратовского государственного социально-экономического университета, Саратов, 2005.

Ермошин Д.В., Ермошина О.С. Применение методов имитационного моделирования для управления производством // Информационно-вычислительные технологии и их приложения, РИО ПГСХА, Пенза, 2005, с.85-87.

Ивановский Р.И., Савков В.К. Имитационное моделирование энергосистем. Проблемы и возможности // Электросистемы, № 2-3, 2005, c.18-20.

Карпов Ю.Г. Изучение современных парадигм имитационного моделирования в среде AnyLogic // Компьютерные инструменты в образовании. № 4, 2005.

Кобелев Н.Б. К вопросу создания универсальной имитационной модели // «Моделирование финансово – экономических процессов». Сборник научных статей., Москва., РИО, ВЗФЭИ, 2005 г. 0,5 п. л.

Кобылкин М.С., Лычкина Н.Н. Разработка имитационной системы поддержки принятия решений в социальной сфере // Вестник университета, № 2 / ГУУ, Москва, 2005.

Котенко И.В., Степашкин М.В., Богданов В.С. Модель атак для имитации действий злоумышленника в системе анализа защищенности компьютерных сетей // IV Межрегиональная конференция «Информационная безопасность регионов России» («ИБРР-2005»). Труды конференции. Санкт-Петербург. 2005.

Ладыженский Ю.В., Мирецкий А.В., Мирецкая В.А. Моделирование мультиагентных алгоритмов маршрутизации сообщений в компьютерных сетях // Материалы первой международной научно-технической конференции «Моделирование и компьютерная графика» (4-7 октября 2005 года), Донецк, Украина, с. 122-126.
Представлений дискретно-подійний симулятор, що дозволяє досліджувати властивості алгоритмів маршрутизації. Описано основні об'єкти моделі комп'ютерної мережі. Розглянуто динамічний алгоритм маршрутизації AntNet.

Лексиков А.Н., Олейник А.Г. Обзор возможностей и примеры использования пакета Powersim Studio SDK // Информационные технологии в региональном развитии, Выпуск V, Апатиты, 2005, с. 46–49.

Лукьянец С.В. Имитационное моделирование гибкого штамповочного производства // Доклад БГУИР (Белорусский государственный университет информатики и радиоэлектроники), № 3 (11), 2005.

Лычкина Н.Н., Кобылкин М.С. Разработка имитационной системы поддержки принятия решений в социальной сфере // Вестник ГУУ, № 2(11)Москва, 2005, С. 210-217.

Максимей И.В., Смородин В.С., Сукач Е.И. Имитационные модели случайных технологических процессов опасных производств // Системні дослідження та інформаційні технології (System Research & Information Technologies), № 3, 2005, c. 73-87.

Медведев Н.В., Быков А.Ю., Гришин Г.А. Имитационное моделирование систем массового обслуживания с использованием межплатформенной библиотеки функций языка СИ++ // ISSN 0236-3933. Вестник МГТУ им. Н.Э. Баумана. Сер. «Приборостроение». 2005. №4. С.85-93.
Рассмотрены основные подходы к использованию инструментальных средств имитационного моделирования, а также проблема их использования для операционных систем типа МСВС и Linux. Для имитационного моделирования систем массового обслуживания предложено использовать библиотеку функций языка Си++. Приведены особенности и краткое описание данной библиотеки, являющейся межплатформенной, и особенности использования в библиотеке метода понижения дисперсии. Показан пример имитационного моделирования.

Меркурьев Ю.А., Бардаченко В.В., Соломенников А.В., Камперман Ф. Выбор оптимального набора ресурсов на балтийском контейнерном терминале с помощью имитационного моделирования // Transport and Telecommunication, Volume 6, № 4, ISSN 1407-6160, Riga, 2005, p. 4-29.
В работе решается задача выбора оптимального набора технологических ресурсов на Балтийском контейнерном терминале. Продемонстрирована эффективность применения имитационного моделирования для решения подобных задач. Работа выполнена в рамках проекта IST-2001-33030 BALTPORTS-IT «Simulation and IT-Solutions: Applications in the Baltic Port Areas of the Newly Associated States» программы IST Европейской Комиссии.

Окольнишников В.В. Представление времени в имитационном моделировании // Вычислительные технологии, Том 10, № 5, 2005, с. 57–80.

Рыков В.В., Ивницкий В.А., Морозов Е.В. О работах Н.П. Бусленко в области имитационного моделирования // Информационные процессы, №3, Том 5, Москва, 2005, с. 177-186.

Соколов Б.В., Зайчик Е.М., Потрясаев С.А. Комплексное моделирование мобильных информационных технологий и систем на различных этапах их жизненного цикла // V Международная научно-техническая конференция “Кибернетика и технологии XXI века”, Воронеж, май 2005: Сборник трудов НТК. - Воронеж, ВГУ, 2005.

Соколов Б.В., Охтилев М.Ю. Комплексное моделирование технологий само-управляемых вычислений // Первая международная конференция “Системный анализ и информационные технологии”, САИТ - 2005, 12 - 16 сентября 2005 г., Переславль – Залесский, Россия: Труды конференции, т.1./ Изд-во КомКнига. – Москва, 2005.

Соколов Б.В., Охтилев М.Ю. Методологические проблемы комплексного моделирования жизненных циклов мобильных интеллектуальных информационных технологий // Фундаментальные основы информационных технологий и систем: программа фундаментальных исследований Отделения информационных технологий и вычислительных систем. Труды Института системного анализа РАН. Т.9.- М.: Едиториал, УРСС, 2005.

Соколов Б.В., Охтилев М.Ю., Юсупов Р.М. Комбинированные методы и модели структурно-функционального синтеза облика мобильных информационных технологий и систем на различных этапах их жизненного цикла // Первая международная конференция “Системный анализ и информационные технологии”, САИТ - 2005, 12 - 16 сентября 2005 г., Переславль – Залесский, Россия: Труды конференции, т.1./ Изд-во КомКнига. – Москва, 2005.

Соловьев Б.А., Калайда В.Т. Моделирование работы распределенной системы видеонаблюдения // Доклады ТУСУРа, № 3, июнь 2005. С.88–93.
В работе рассматривается алгоритм анализа нагрузки распределенной системы видеонаблюдения, приводится оценка нагрузки методом имитационного моделирования и дается интерпретация полученных результатов моделирования.

Тихонов C.B. Имитационное моделирование морского грузового порта как системы массового обслуживания (тезисы) // Программа и итоги III Межрегиональной научной конференции студентов, аспирантов и молодых учёных «Молодёжь XXI века - будущее Российской науки». Май, 2005.

Толуев Ю.И., Некрасов А.Г., Морозов С.И. Анализ и моделирование материальных потоков в сетях поставок // Интегрированная логистика, №5, 2005, с. 7-14.

Феоктистов А.Г., Александров А.А. Распределенное имитационное моделирование вычислений в САТУРН-среде на основе системы взаимодействующих агентов // Материалы V Международной научно-практической конференции «Моделирование. Теория, методы и средства», Часть 3, Издательство ЮРГТУ, Новочеркасск, 2005, с.28-32.

Феоктистов А.Г., Александров А.А. Распределенное имитационное моделирование систем модульного программирования // Материалы VI Школы-семинара молодых ученых «Математическое моделирование и информационные технологии», ИДСТУ СО РАН, Иркутск, 2005, с.38-39.

Фирсова Н.В. Инструментальные средства моделирования бизнес-процессов и оценка их применения для целей реинжиниринга // Вестник СПбГУ. Сер.8. 2005 год. Вып.4. С.100–119.

Хомоненко А.Д. Подход к пространственной аппроксимации вероятностно-временных характеристик моделей узлов сетей массового обслуживания // Труды 1 Международной конференции «Системный анализ и информационные технологии». изд. Москва Ком Книга. Переславль-Залесский, 12-16 сентября 2005. Том II, c. 293-296.

Юсупов Р.М., Соколов Б.В. Современные проблемы квалиметрии моделей и возможные пути их решения // Всероссийская научная конференция «Теория и практика системной динамики» Апатиты, 13-15 сентября 2004 г.: Труды конференции, Апатиты, 2005.

Юсупов Р.М., Соколов Б.В. Состояние и перспективы исследований в области квалиметрии моделей и полимодельных комплексов // III Всероссийская научная конференция «Управление информационные технологии», Санкт-Петербург, 30 июня – 2 июля 2005 г.: Сборник докладов, т. 2., СПб, 2005.

Якимов А.И. Имитационное моделирование в системе принятия решений на промышленном предприятии // Проблемы управления и приложения (техника, производство, экономика) : тр. междунар. конф. : в 3 т. – Минск : Ин-т математики НАН Беларуси, 2005. – Т. 3. – С. 161–165.

Якимов А.И. Особенности интеграции имитационной модели объекта с информационной системой предприятия // Известия Гомельского государственного университета имени Ф. Скорины, №5(32), 2005, c. 90-92.

Якимов А.И., Альховик С.А., Захарченков К.В. Развитиe ПТКИ BelSim для реализации функции моделирования в ERP-системах управления // Перспективные технологии, материалы и системы : сб. науч. тр. – Могилёв, 2005. – С. 415–421.

Якимов А.И., Захарченков К.В. Библиотека имитационных моделей информационной системы промышленного предприятия // Вестн. Брест. гос. техн. ун-та. Физика, математика, информатика. – 2005. – № 5(35). – С. 74–79

Якимов А.И., Захарченков К.В., Петров Р.В. Имитационное моделирование сложного дискретного производственного процесса на основе ПТКИ BelSim // Известия Гомельского государственного университета имени Ф. Скорины, №5(32), 2005, c. 135-137.


Труды Второй всероссийской научно-практической конференции по имитационному моделированию и его применению в науке и промышленности «Имитационное моделирование. Теория и практика» (ИММОД-2005)


Акимов С.В. Методология создания имитационных моделей класса объектов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 77-80.

Аксенов К.А., Гончарова Н.В., Смолий Е.Ф. Создание ситуационной системы имитационного моделирования процессов преобразования ресурсов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 11-15.

Алексеев А.В. Вербальное описание модели Мониторинга и управления информационной подсистемой безопасности системы антитеррористической и противокриминальной защиты объектов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 246-249.

Алексеев А.В. Методологические аспекты моделирования информационных подсистем системы управления силами ВМФ // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 81-86.

Алексеев Ю.Н. Система динамического моделирования ИМИТАК в учебном процессе // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 16-17.

Амелин Д.И., Погорелов А.С. Имитационная модель кредитного портфеля коммерческого банка // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 18-22.

Анищенко А.С., Шерстнев В.С. Имитационное моделирование репликационных потоков информационной системы газодобывающего предприятия // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 23-27.

Антонова Г.М., Базуткин В.В., Байков А.Ю. Моделирование и оптимизация резонаторных свч-приборов о типа // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 28-32.

Арашкевич В.А., Рукосуев А.С., Андреев В.А., Коняев В.А. Имитационное моделирование в процессе проработки мероприятий для развития конвертерного производства ОАО "Северсталь" до 9,5 млн. т стали в год // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 33-38.

Беляева М.А. Математическая модель процесса тепловой обработки биопродуктов животного происхождения // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 39-42.

Боев В.Д. Модель бизнес-процесса и особенности ее реализации в системе моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 43-46.

Боев В.Д. Решение прямой и обратной задач в системе моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 250-253.

Борщёв А.В. Практическое агентное моделирование и его место в арсенале аналитика // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 11-24.

Бочаров Е.П., Сударев А.В. Имитационное моделирование кредитно-депозитной деятельности коммерческого банка // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 47-49.

Буряк Ю.И., Инсаров В.В. Разработка интегрированной вычислительной среды для моделирования процессов поддержки принятия решений в сложных организационных системах // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 173-178.

Быстров В.В. Об оценке методических погрешностей композитных системно- динамических моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 87-89.

Васенов А.В., Литвинов А.Б., Скородумов В.С., Шмелев М.А. Инструментальное средство моделирования логистических информационных систем RPS-MATRIX // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 179-181.

Верзилин Д.Н., Волков В.Ф., Максимова Т.Г. Опыт применения GPSS World для моделирования процессов управления активными подвижными объектами // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 50-52.

Верхотуров М.А., Мартынов В.В., Мухачева Э.А. Имитационное моделирование процессов размещения. Основные модели // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 90-95.

Вислов А.В., Савченко И.Ф. Моделирование организации лечебно-эвакуационных мероприятий в авиационной дивизии // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 53-57.

Волков В.Н., Савина А.Л. Имитационная модель процессов управления промышленным предприятием // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 58-63.

Волков В.Ф. Имитационные модели процесса информационного противоборства в военно-технической сфере // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 254-258.

Воротницкий Ю.И., Громыко А.А., Пытляк В.В. Моделирование телекоммуникационных систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 64-68.

Вятченин Д.А. Динамические признаки в задачах классификации моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 96-100.

Гавриленко В.Г., Ельцов А.Ю., Конюченко А.В., Макаров Ф.В., Садков А.Н. Разработка симулятора сенсорных сетей с детальным моделированием физического уровня в среде AnyLogic // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 182-185.

Гильфанова Ф.Ф. Моделирование выбора приоритетных правил обслуживания в АСУ ГПС // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 69-70.

Горохов А.В., Путилов В.А. Имитационное моделирование региональных социально-экономических систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 71-74.

Гостев В.М. Применение имитационных моделей в процессе проектирования сетей передачи данных // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 75-78.

Девятков В.В. Разработка приложений в среде GPSS World // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 186-190.

Девятков Т.В. Визуальная разработка имитационных моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 191-195.

Дегтярев О.В., Егорова В.П., Зубкова И.Ф., Кан А.В. Особенности моделирования этапов планирования потоков воздушного движения с использованием КИМ УВД // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 79-84.

Дегтярев О.В., Кан А.В., Орлов В.С. Проблемы моделирования процессов выполнения управляемых потоков воздушного движения // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 85-89.

Денисенко Ю.В., Елистратов Д.А. Применение методов моделирования процессов в подготовке специалистов железнодорожного транспорта // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 90-91.

Долматов М.А., Любимова И.Е., Руденко А.И. Опыт использования пакета GPSS World для анализа функционирования рыбообрабатывающего комплекса промыслового траулера-ярусника // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 92-96.

Дьячков В.В. Имитационная модель сборочного производства персональных компьютеров // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 97-100.

Ермошин Д.В., Бочаров Е.П. Опыт имитационного моделирования работы цеха по изготовлению печатных форм для обойного производства предприятия // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 101-102.

Задорожный В.Н. Методы ускоренной имитации процессов с интенсивными Прерываниями // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 101-106.

Зайчик Е.М., Тарасов О.М., Соколов Б.В. Аналитико-имитационное моделирование процессов управления структурной динамикой активных подвижных объектов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 259-263.

Звягин П.Н., Звягин К.Н. Компьютерное моделирование нормально распределенных случайных величин // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 196-200.

Зорин А.В. Стохастический анализ качества дискретных систем. Возможности применения пакетов MVS и AnyLogic // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 107-111.

Иванов Д.А., Ларс Цшорн, Йоахим Кэшель, Соколов Б.В., Архипов А.В. Методы решения задач управления логистическими цепями на основе комплексного моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 103-107.

Ивашкин Ю.А. Агентно-ориентированное имитационное моделирование конфликтных ситуаций // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 108-112.

Иконникова А.В., Морозов В.П., Пунтиков Н.И. Методология построения модели стандартного процесса организации, разрабатывающей программные изделия // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 113-114.

Казаков С.А., Шананина Е.Н., Шебеко Ю.А. Агентные модели динамического планирования и распределения сетевых ресурсов системы Grid // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 112-115.

Каливанов А.Ж. Инструментарий автоматизированной нормализации отношений элементов предметной области // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 201-204.

Кобелев Н.Б. Вопросы теории имитационного моделирования открытых систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 116-121.

Кобылкин М.С., Лычкина Н.Н. Моделирование социально-экономических процессов в регионе // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 115-118.

Козлов А.Н. Анализ производительности центра коллективной обработки информации // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 119-121.

Коковин В.А. Имитационная модель общей таймерной системы ускорительного комплекса ИФВЭ // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 122-127.

Кондратьев В.А. О структурно-параметрическом синтезе комплектного электромагнитного привода с использованием положений имитационного моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 128-131.

Коновалов М.А. Оценка эффективности методики пополнения базы данных электрорадиоэлементов посредством создания модели выполняемых работ // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 132-134.

Конюх В.Л., Игнатьев Я.Б., Зиновьев В.В. Развитие средств имитационного моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 122-126.

Конюх В.Л., Михайлишин А.Ю. Имитатор сетей Петри и опыт его применения // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 205-210.

Копкин Е.В. Использование имитационного моделирования для построения автоматизированных систем анализа технического состояния сложных объектов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 127-131.

Королев А.Г. Система Object GPSS. Вложение языка GPSS в Delphi // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 264-268.

Королев А.Г., Рязанцев А.И. Применение DCC32 для создания развиваемых программных систем на Delphi // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 211-213.

Костин М.В., Костина А.В. Имитационное моделирование системы передачи конфиденциальной информации в широковещательных каналах связи // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 214-219.

Котенко И.В., Уланов А.В. Многоагентная среда моделирования механизмов защиты от распределенных компьютерных атак // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 220-224.

Кнутов Е.Н., Кутузов. О.И. Построение концептуальной модели Lan emulation ATM сетей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 225-228.

Крылов Р.А. Автоматизация распараллеливания алгоритмических моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 135-138.

Крысова Е.В., Шатров А.В. Имитационная модель бюджета домашних хозяйств на примере статистической выборки г. Кирова // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 139-143.

Кутузов О.И., Татарникова Т.М. Оптимизация мультипроцессорной системы на основе генетических алгоритмов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 269-273.

Левчук В.Д. Статистические задачи планирования прогона имитационной модели // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 132-136.

Лычкина Н.Н. Современные технологии имитационного моделирования и их применение в информационных бизнес-системах и системах поддержки принятия решений // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 25-31.

Макеев С.А. Имитационная модель маршрутизатора, работающего на основе протокола OSPF // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 229-232.

Максимов К.М. Краткий обзор системы моделирования Visual Imitak // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 233-237.

Марлей В.Е. Практический опыт разработки алгоритмических моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 144-147.

Марлей В.Е., Рикунов А.А., Стрелец Я.А. Новая версия системы автоматизации моделирования когнитрон для экономического моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 148-153.

Мацкевич А.Н. Анализ свойств локально-контурных робастных систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 137-142.

Мацула В.Ф. Применение GPSS-PC для моделирования специализированной вычислительной системы // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 238-240.

Миков А.И., Замятина Е.Б. Автоматическое доопределение имитационной модели агента // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 241-245.

Микони С.В. Решение оптимизационных задач на основе имитационных моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 274-278.

Миронов Ю.В., Васьков С.А. Имитационно-моделирующий программный комплекс планирования использования космической информации наземными потребителями // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 154-155.

Михайлов В.В., Колпащиков Л.А. Моделирование в решении проблемы изучения и устойчивого использования ресурсов северных оленей (на примере таймырской популяции) // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 156-160.

Молев А.А., Зайцев И.В. Применение агрегативного подхода к моделированию элементов радиоэлектронных систем при проведении опытно-теоретических исследований их эффективности // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 143-147.

Морозов В.П. Принятие решений при работе с алгоритмическими моделями // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 279-282.

Морозов С.И., Толуев Ю.И., Змановская Т.П. Использование пртоколов событий для интерпретации результатов моделирования логистического центра // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 246-250.

Морозова Е.В. Автоматизированная система моделирования блочных шифров "СПЕКТР" // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 161-165.

Мусаев А.А. Автоматизированный анализ качества имитационных моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 166-168.

Мусаев А.А. Самоорганизующиеся имитационные модели в задачах APC-управления промышленными объектами // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 148-151.

Новиков Е.А., ШорниковЮ.В. Адекватность численных экспериментов при имитационном моделировании динамических систем средствами ИСМА // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 251-255.

Новожилова И.В., Чистякова Т.Б., Шляго Ю.И. Имитационное моделирование нештатных ситуаций гибкого многоассортиментного производства гранулированных пористых материалов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 169-173.

Окольнишников В.В. Разработка системы распределенного имитационного моделирования для различных операционных сред // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 256-260.

Охтилев М.Ю., Соколов Б.В., Чуприков А.Ю., Черников А.Д., Ничипорович О.П., Заозерский С.А., Иванов Д.А. Имитационное моделирование информационных систем на основе программного комплекса мониторинга состояния сложных технических объектов в реальном масштабе времени // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 174-178.

Петров А.А., Поспелов И.Г., Поспелова Л.Я., Хохлов М.А. ЭКОМОД-интеллектуальный инструмент разработки и исследования динамических моделей экономики // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 32-41.

Петров А.В. Анализ эффективности алгоритма приема сигналов ОФМ в линиях метеорной радиосвязи на основе имитационного моделирования функционирования демодулятора // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 261.

Петров А.В. Методика синтеза алгоритма приема сигналов с ОФМ станции метеорной радиосвязи. Оценка параметров алгоритма на основе имитационного моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 262-263.

Плотников А.М., Васильев А.А., Долматов М.А., Любимова И.Е. Опыт применения методов имитационного моделирования в задачах разработки оргтехпроектов модернизации действующих производств судостроительных предприятий // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 42-46.

Полосков С.И. Виртуальная модель формирования швов в процессе орбитальной TIG-Сварки // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 179-185.

Пономарев Д.Ю. Исследование характеристик мультисервисных сетей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 186-189.

Приступа А.В. Инструмент для объектного моделирования систем с дискретными событиями ObjectSim // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 264-268.

Пуртов А.М., Задорожный В.Н. Использование графов для сокращения имитационных экспериментов (на примере анализа модели сети провайдера Интернет) // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 152-157.

Репин В.А. Некоторые приемы объектно-ориентированного проектирования приложений распределенного моделирования на C++ // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 190-194.

Рыжиков Ю.И. Опыт понижения дисперсии результатов моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 47-57.

Садовская К.М. Обобщенная методология определения числа кластеров в нечетком с-разбиении при классификации моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 158-162.

Седляров О.И., Балова А.Н., Дашкевич И.П. Дозовая оценка шумового воздействия на основе моделирования работы технологического оборудования и характера перемещения персонала // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 283-285.

Седляров О.И., Матрехина О.В., Куранов В.В. Практическое применение имитационного моделирования для оценки системы обеспечения безопасности персонала предприятий легкой промышленности в чрезвычайных ситуациях // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 195-197.

Сергеев А.И. Подготовка специалистов в области гибкой автоматизации // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 198-201.

Серова Е.Г. Имитационное моделирование формирования производственных структур комплексов технических средств освоения морских нефтегазовых месторождений // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 202-207.

Советов Б.Я., Яковлев С.А. Имитационное моделирование как инструментальная среда поддержки учебного процесса подготовки специалистов в области информационных систем и технологий // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 58-64.

Соколов Б.В., Юсупов Р.М. Концептуальные основы квалиметрии моделей и полимодельных комплексов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 65-70.

Степашкин М.В., Котенко. И.В., Богданов В.С. Моделирование атак для активного анализа уязвимостей компьютерных сетей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 269-273.

Татарникова Т.М., Кутузов О.И. Подход к имитационному моделированию многопортового устройства сопряжения матричного типа // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 208-212.

Терентьев С.В. Применение имитационного моделирования для решения задач управления мелкосерийным производством // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 213-217.

Тимофеев А.В., Сырцев. А.В., Колотаев А.В. Библиотека имитационного моделирования телекоммуникационных сетей Tksym // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 274-277.

Толуев Ю.И. Применение имитационного моделирования для исследования логистических процессов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 71-76.

Томашевский В.Н., Богушевская Н.В. Расширение возможностей системы моделирования ISS 2000 // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 278-282.

Тулубаев Д.А. Имитационная компьютерная модель-тренажер системы диспетчерского управления магистральным нефтепроводом // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 218-221.

Федорова М.Л., Леденёва Т.М. Использование имитационных методов для расчета некоторых характеристик кластера // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 222-224.

Федорова М.Л., Леденёва Т.М. Решение классической задачи эрланга имитационным методом // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 225-227.

Филипишен Д.В. Повышение качества обработки многолучевого сигнала в сетях связи третьего поколения путем применения модели векторного эквалайзера в приемных трактах базовых станций // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 286-291.

Фролов А.А., Алексеев А.В. Концепция и модель эффективного управления информационной безопасностью крупных автоматизированных информационных систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 163-166.

Хлопяк В.Г. Развитие теории агрегативных систем –каноническая форма имитационной модели // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 167-172.

Цыганкова И.А. Имитационная модель информационно-измерительной оптико- электронной системы // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 228-229.

Черватюк О.В., Котенко И.В., Тишков А.В. Верификация на модели в задаче динамического обнаружения конфликтов в политике безопасности компьютерных сетей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 283-287.

Швецов А.Н., Дианов С.В. Определение эффективности рассмотрения обращений граждан в системах организационного управления с использованием имитационного моделирования // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 230-234.

Шпаков В.М. Прототип среды моделирования структурированных совокупностей взаимодействующих процессов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 292-295.

Шпаков В.М. Транзитивная модель процессов и её использование для имитационного моделирования динамических систем // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 288-292.

Щетинин Д.В. Управляемая тестами разработка имитационных моделей // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 293-297.

Юршевич Е.А., Петрова Е.И. Опыт использования пакета AnyLogic для моделирования городского трафика // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 1. СПб.: ЦНИИТС. 2005. – c. 298-305.

Якимов И.М. Имитационная модель системы запасов нефтепродуктов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 235-236.

Яцкив И.В., Юршевич Е.А., Колмакова Н.В. Использование возможностей имитационного моделирования для анализа транспортных узлов // Имитационное моделирование. Теория и практика: Сборник докладов второй всероссийской научно-практической конференции ИММОД-2005. Том 2. СПб.: ЦНИИТС. 2005. – c. 237-245.



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