Статьи 2006 года



Abrahamson D., Berland M.W., Shapiro R.B., Unterman J.W., Wilensky U. (2006). Leveraging epistemological diversity through computer-based argumentation in the domain of probability // For the Learning of Mathematics, 26(3), pp.39-55.

Abrahamson D., Janusz R. M., Wilensky U. (2006). There once was a 9-Block... -- A middle-school design for probability and statistics // Journal of Statistics Education, 14(1).

Aksyonov K.A., Smoliy E.F., Goncharova N.V., Khrenov A.A., Baronikhina A.A. Development of Multi Agent Resource Conversion Processes Model and Simulation System // Computational Science – ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006. Proceedings, Part III. Lecture Notes in Computer Science, 2006. Vol. 3993. p. 879 – 882.
Разработка модели мультиагентного процесса преобразования ресурсов и системы имитационного моделирования.

Alexander Craig W. Discrete event simulation for batch processing // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1929-1934.
This paper presents the modeling of batch processes using discrete event simulation. Discrete event simulation is often used for transactional-based processes; however, this paper describes an example of representing each batch as a single transaction in order to model process cycle time and utility usage. An example is provided to demonstrate the use of this method for simulating water-for-injection usage in a biopharmaceutical process.

Alexopoulos C. (2006). A comprehensive review of methods for simulation output analysis. In: Proceedings of the Winter Simulation Conference, pp. 168-178.

Ali Sk Ahad, Seifoddini Hamid. Simulation intelligence and modeling for manufacturing uncertainties // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1920-1928.

Alvarez A. Humberto R., Solis Dario, Cano S. Arnoldo R., Sala-Diakanda Serge. System dynamics simulation of the expansion of the Panama Canal // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.660-666.

Andruss C. (2006). Computational Modeling of the Interaction of the T. cruzi Parasite and its Environment // Final research report presented at the VCU Bio Informatics Institute, Virginia.

Antonini G., Bierlaire M., Weber M. Discrete choice models of pedestrian walking behavior // Transportation Research Part B. 2006. Vol. 40, No. 8. P. 667–687.

Athapornmongkon Chakkaphan, Deuse Jochen, Chee Yew Wong. Pull production cycle-time under varying product mixes // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1997-2002.
This paper studies the relations between cycle times and product mixes in a parallel pull production system using discrete event simulation. Experiments with varying product mixes for parallel production systems are simulated. The simulation results show that optimal cycle time is inversely proportional to product mixes, when the product mix is 50:50 e.g. 120 sec. should be set to each parallel machine to obtain overall cycle time of 60 sec. However, when the mixes are more than 50:50, the proportional rule is not valid.

Osman Balci A review of «Modeling and simulation in security evaluation» // ACM Computing Reviews, Feb. 27, 2006.

Ballard Sarah M., Kuhl Michael E. The use of simulation to determine maximum capacity in the surgical suite operating room // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.433-438.
We present a general methodology for determining the maximum capacity within a surgical suite through the use of a discrete-event simulation model. This research is based on an actual hospital concerned with doctor/resource acquisition decisions, patient satisfaction improvements, and increased productivity.

Berland M., Wilensky U. (2006). Constructionist collaborative engineering: Results from an Implementation of PVBOT // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Blikstein P., Wilensky U. (2006). A case study of multi-agent-based simulation in undergraduate materials science education // Paper presented at the Annual Conference of the American Society for Engineering Education, Chicago, IL, June 18-21.

Blikstein P., Wilensky U. (2006). An atom is known by the company it keeps: A constructionist learning environment for Materials Science using multi-agent simulation // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA, April 7-11.
This paper reports on a user study of a computer-based learning environment for collegelevel Materials Science. MaterialSim is an agent-based set of microworlds built by the authors within the NetLogo modeling environment. MaterialSim was created for investigating phenomena such as crystallization, solidification, grain growth and annealing.

Blikstein P., Wilensky U. (2006). From inert to generative modeling: Case studies of multi-agent-based simulation in undergraduate engineering education // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Blikstein P., Wilensky U. (2006). ‘Hybrid modeling’: Advanced scientific investigation linking computer models and real-world sensing // Paper presented at the Proceedings of the Seventh International Conference of the Learning Sciences, Bloomington, IL, June 27-July 1.
‘Hybrid modeling’ is an innovative technological platform that enables students to link multi-agent models («in» the computer) and electronic sensors («outside») in real time. The platform is designed for learners to validate, refine, and debug their computer models using real world data. Also, the technology broadens the types of scientific explorations possible in classrooms. Pilot studies suggest a real-to-virtual reciprocity that catalyzes further inquiry toward deeper understanding.

Blikstein P., Wilensky U. (2006). The Missing Link: A Case Study of Sensing-and-Modeling Toolkits for Constructionist Scientific Investigation // Proceedings of the International Conference for Advanced Learning Technologies (ICALT 2006) (pp. 980-982). Kerkrade, The Netherlands.

Blikstein P., Rand W., Wilensky U. (2006). Participatory, embodied, multi-agent simulation. Paper presented at AAMAS 2006.

Boer Csaba Attila, de Bruin Arie, Verbraeck Alexander. Distributed simulation in industry – a survey part 1 – the cots vendors // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1053-1060.
This paper reports on the first part of the survey, namely a questionnaire targeted at vendors of commercial-off-the-shelf simulation packages. Analysis of the answers obtained establish that it is indeed the case that industry is relatively underdeveloped in the area of distributed simulation and also sheds some light on the reasons behind this.

Boer Csaba Attila, de Bruin Arie, Verbraeck Alexander. Distributed simulation in industry – a survey part 2 – experts on distributed simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1061-1068.
In order to answer the question why industry lags behind, the authors have carried out an extensive survey, using a questionnaire and interviews, with users, vendors, and developers of distributed simulation products, as well as with vendors of non-distributed simulation software. This paper reports on the second part of the survey, namely a series of open ended interviews. We report on the responses we obtained indicating the discrepancies between the different “worlds”. A categorization of these responses is given using which it is possible to formulate clear guidelines for further developments of standards for distributed simulation.

Bryson J.J., Caulfield T.J., Drugowitsch J. (2006). Integrating Life-Like Action Selection into Cycle-Based Agent Simulation Environments// in Proceedings of Agent 2005: Generative Social Processes, Models, and Mechanisms, Michael North, David L. Sallach and Charles Macal eds., pp. 67-81, Argonne National Laboratory 2006.

Chick Stephen E. Bayesian ideas and discrete event simulation: why, what and how // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.96-106.
Bayesian methods are useful in the simulation context for several reasons. They provide a convenient and useful way to represent uncertainty about alternatives in a way that quantifies uncertainty about the performance of systems, or about inputs parameters of those systems. They also can be used to improve the efficiency of discrete optimization with simulation and response surface methods. Bayesian methods work well with other decision theoretic tools, and can therefore provide a link from traditional operations-level experiments to higher-level managerial decision-making needs, in addition to improving the efficiency of computer experiments.

Chick Stephen E., Gans Noah. Simulation selection problems: overview of an economic analysis // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.279-286.
This paper summarizes a new approach that we recently proposed for ranking and selection problems, one that maximizes the expected NPV of decisions made when using stochastic or discrete-event simulation. The expected NPV models not only the economic benefit from implementing a selected system, but also the marginal costs of simulation runs and discounting due to simulation analysis time. Our formulation assumes that facilities exist to simulate a fixed number of alternative systems, and we pose the problem as a “stoppable” Bayesian bandit problem.

Chin Soon Chong, Malcolm Yoke Hean Low, Appa Iyer Sivakumar, Kheng Leng Gay. A bee colony optimization algorithm to job shop scheduling // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1954-1961.
This paper describes a novel approach that uses the honey bees foraging model to solve the job shop scheduling problem. Experimental results comparing the proposed honey bee colony approach with existing approaches such as ant colony and tabu search will be presented.

Cowdale (2006). Lessons identified from data collection for model validation. In: Proceedings of the Winter Simulation Conference, pp. 1280-1285.

Davies Ruth. Use of simulation to determine resource requirements for end-stage renal failure // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.473-477.

de Mesquita Marco Aurélio, Hernandez Alvaro Euzebio. Discrete-event simulation of queues with spreadsheets: a teaching case // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.2277-2283.
This paper describes the use of spreadsheets combined with simple VBA code as a tool for teaching queuing theory and discrete-event simulation. Four different cases are considered: single server, parallel servers, tandem queuing, and closed queuing system. The data obtained in the simulation run are conveniently stored in spreadsheets for subsequent statistical analysis. This approach was successfully deployed in a second one-semester course on management science for industrial engineers undergraduate students.

Dubinin, V. Event graph-based approach to interpretation of NCES models / V. Dubinin, H.-M. Hanisch, D. Missal // Новые информационные технологии и системы : труды VII Международной научно-технической конференции. – Пенза, 2006. – Ч. 1. – С. 172–186.

Duinkerken Mark B., Ottjes Jaap A., Lodewijks Gabriel. Comparison of routing strategies for agv systems using simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1523-1530.

Duinkerken Mark B., ter Hoeven Tiemen, Lodewijks Gabriel. Simulating the operational control of free ranging AGVs // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1515-1522.
In this paper an operational controlleris presented that aims to satisfy two conflicting goals. First, the controller directs an AGV along a preplanned trajectory with high accuracy. Second, the controller will avoid conflicts with static and dynamic obstacles. These conflicts are caused by small deviations between planned and realized paths, as well as by incidents like equipment failure. A simulation model is built to study the performance of this controller. The quality is compared to a PI-controller without collision avoidance characteristics.

Enns S.T. The effects of backorder information and reduced-setup dispatching under reorder point or kanban replenishment // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1914-1919.
This research considers a single-stage, capacity-constrained workstation with circulating transporters used for replenishment and independent customer demand for completed parts. Results show backorder information and setup time reduction both improve performance and that interaction effects are not significant. This indicates that reorder point systems can outperform Kanban systems whether or not dispatching based on setup time reduction is used.

Enns S.T., Suwanruji Pattita. Observations on material flow in supply chains // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1446-1451.
This paper summarizes one group of recent simulation studies comparing replenishment strategies. Time-phased planning, implemented using DRP and MRP logic, continuous-review reorder point (ROP) and single-card Kanban (KBN) systems are considered. These differ in terms of decision-making information, logic and integration requirements. Experimental results have been statistically analyzed and explained using simple stochastic models.

Felsen M., Watson B., Wilensky U. (2006). Urban Complexity + Emergence: Procedural Modeling of City Activity and Form // In Surfacing Urbanisms: Recent Approaches to Metropolitan Design (pp. 261-265). Pasadena, CA: Woodbury University.

Garofalo M. (2006). Modeling the El Farol Bar Problem in NetLogo // Submitted for publication.

Alexander Yu. Glebovsky, Vladimir M. Ivanov, Yuri G. Karpov Computer Modeling and Simulation in Higher Education // APRU DLI 2006 год.

Graham S. (2006). Networks, Agent-Based Modeling, and the Antonine Itineraries // In The Journal of Mediterranean Archaeology 19.1: 45-64.

Graham S., Steiner J. (2006). Travellersim: Growing Settlement Structures and Territories with Agent-Based Modelling // in Jeffrey T. Clark and Emily M. Hagemeister (eds) Digital Discovery: Exploring New Frontiers in Human Heritage. CAA 2006. Computer Applications and Quantitative Methods in Archaeology. Proceedings of the 34th Conference, Fargo, United States, April 2006. Budapest: Archaeolingua.

Gunal Murat M., Pidd Michael. Understanding accident and emergency department performance using simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.446-452.
we present a simulation of an Accident and Emergency (A&E) Department. Performance targets are an important part of the National Health Service (NHS) performance assessment regime in the UK. Pressures on A&Es force the medical staff to take actions meeting these targets with limited resources. We used simulation modelling to help understand the factors affecting this performance. We utilized real data from patient admission system of an A&E and presented some data analysis. Our particular focuses are the multitasking behaviour and experience level of medical staff, both of which affect A&E performance. This performance affects, in turn, the overall performance of the hospital of which it is part.

Gu Qing, Mendonça David. Group information foraging in emergency response: an illustration incorporating discrete-event simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.554-561.
This paper discusses the design and implementation of a discrete event simulation system used for assessing how risk and time constraint can impact group information seeking and handling (i.e., foraging) during emergency response. The results of a pilot test of the implemented system are briefly discussed. Finally, ongoing extensions of this simulation are discussed.

Hammond R., Axelrod R. (2006). The Evolution of Ethnocentrism // Journal of Conflict Resolution, 50(6), 926-936.

Hay Andrew M., Valentin Edwin C., Bijlsma Rienk A. Modeling emergency care in hospitals: a paradox - the patient should not drive the process // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.439-445.
In this paper, we describe an approach to the creation of a generic modeling environment in the healthcare domain that breaks away from the conventional entity driven request for resource. Our approach has enabled us to create models of emergency care in four UK NHS hospitals that reflect more realistically the way emergency care is actually delivered. It appears, paradoxically, that in simulating emergency care, it is best if the patient does not come first.

Henriksen James O. Taming The Complexity Dragon // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006.

Hindle Kim, Duffin Matt. Simul8-planner for composites manufacturing // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1779-1784.

Hongwei Ding, Changrui Ren, Wei Wang, Jin Dong. Applying Simulation in a Supply Chain Transformation Case // Proceedings of the 2006 Winter Simulation Conference, p. 614-620.

Hotz Ingo, Hanisch Andre, Schulze Thomas. Simulation-based early warning systems as a practical approach for the automotive industry // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1962-1970.

Hybinette Maria, Kraemer Eileen, Xiong Yin, Matthews Glenn, Ahmed Jaim. SASSy: a design for a scalable agent-based simulation system using a distributed discrete event infrastructure // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.926-933.

Izquierdo L.R., Polhill J.G. (2006). Is your model susceptible to floating-point errors? // Journal of Artificial Societies and Social Simulation 9(4)4.

Jacobson M., Wilensky U. (2006). Complex systems in education: Scientific and educational importance and implications for the learning sciences // Journal of the Learning Sciences, 15(1), pp. 11-34.

Jarugumilli Shrikant, Scott E. Grasman, Sreeram Ramakrishnan. A simulation framework for real-time management and control of inventory routing decisions // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1485-1492.
In this work, we use simulation to develop the framework for the real-time control and management of inventory and routing decisions, given this scenario.

Jepsen M.R., Leisz S., Rasmussen K , Jakobsen J., Moller-Jensen L., Christiansen L. (2006). Agent-based modelling of shifting cultivation field patterns, Vietnam // International Journal of Geographical Information Science, 20(9), pp. 1067-1085.

Joyce D., Kennison J., Densmore O., Guerin S., Barr S., Charles E., et al. (2006). My Way or the Highway: a More Naturalistic Model of Altruism Tested in an Iterative Prisoners' Dilemma // Journal of Artificial Societies and Social Simulation, 9(2).

Kanacilo Elisangela Mieko, Verbraeck Alexander. Simulation services to support the control design of rail infrastructures // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1372-1379.
The design of rail infrastructure is a difficult task. Many parties are involved, and the tasks range from stakeholder issues to very detailed technical questions, such as control design. Simulation studies are often applied during infrastructure control system design, but the application o simulation is quite hard. One of the problems is the lack of flexibility in linking to information systems and databases. Another problem is that there are many potential users of the models, while most simulation systems can only be used by one user at a time. To overcome these problems, a service oriented simulation architecture is proposed for rail infrastructure modeling. The object-oriented simulation libraries that have been created within this architecture have been tested in a real project to estimate rail infrastructure capacity, and proved to work well.

Ko-Hsin Liang, Kuei-Ming Wang. Using simulation and evolutionary algorithms to evaluate the design of mix strategies of decoy and jammers in anti-torpedo tactics // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1299-1306.
This paper would like to discuss the anti-torpedo tactics from the classical viewpoint. A simulation scenario is implemented in order to study the interaction among the submarine, torpedo, decoy and jammers. After applying the evolutionary algorithm, it is interesting to discover some points about anti-torpedo tactics using a mix of decoys and jammers that would make a significant contribution to the survivability of submarine in the torpedoes engagement scenario.

Kress Reid, Bills Karen, Dixon Jack, Rinehart Richard. Database-intensive process simulation at the Y-12 national security complex // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1989-1996.

Kuhl Michael E., Lada Emily K., Steiger Natalie M., Wagner Mary Ann. Introduction to modeling and generating probabilistic input processes for simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.19-35.

Law Averill M. How to build valid and credible simulation models // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.58-66.
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 assumptions document, structured walk-through of the assumptions document, use of sensitivity analysis to determine important model factors, and comparison of model and system output data for an existing system (if any).

Lechner T., Watson B., Ren P., Wilensky U., Tisue S., Felsen M. (2006). Procedural modeling of urban land use // ACM SIGGRAPH 2006 conference.

Lecuyer P. (2006). Variance reduction in the simulation of call centers. In: Proceedings of the Winter Simulation Conference, pp. 604-613.

Levy S.T, Novak M., Wilensky U. (2006). Students' foraging through the complexities of the particulate world: Scaffolding for independent inquiry in the connected chemistry (MAC) curriculum // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Levy S.T., Wilensky U. (2006). Emerging knowledge through an emergent perspective: High-school students' inquiry, exploration and learning in the Connected Chemistry curriculum // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Levy S.T., Wilensky U. (2006). Gas laws and beyond: Strategies in exploring models of the dynamics of change in the gaseous state // Paper presented at the annual meeting of the National Association for Research in Science Teaching, San Francisco, CA.

Li Ting, van Heck Eric, Vervest Peter, Voskuilen Jasper, Hofker Freek, Jansma Fred. Passenger travel behavior model in railway network simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1380-1387.
This paper focuses on the design and modeling approach of the Travel Behavior Model.

Longo Francesco, Mirabelli Giovanni, Papoff Enrico Effective design of an assembly line using modeling & simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1893-1898.
The paper presents the results of a research work regarding the effective design of an assembly line for heaters production. Considering that the real plant still doesn’t exist, simulation has been used as cognitive tool. After the modeling and the VV&A phases the simulation has been used for carrying out ergonomic analyses for each assembly line workstation. The simulation results highlight problems concerning high stress levels for some workers (due to legs bending) and ergonomic risks related to lifting tasks.

Lownes Nicholas E., Machemehl Randy B. Vissim: a multi-parameter sensitivity analysis // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1406-1413.
This paper seeks further understanding of the performance of the VISSIM traffic microsimulator by investigating the impact of driver behavior parameter combinations on a measure of freeway capacity. This paper is intended to provide insight useful for manual calibration of VISSIM microsimulation or the development of calibration algorithms.

Macal Charles M., North Michael J. Tutorial on agent-based modeling and simulation part 2: how to model with agents // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.73-83.
This tutorial describes the foundations of Agent-based modeling and simulation (ABMS), identifies ABMS toolkits and development methods illustrated through a supply chain example, and provides thoughts on the appropriate contexts for ABMS versus conventional modeling techniques.

Marin Mario, Zhu Yanshen, Meade Phillip T., Sargent Melissa, Warren Julie. System dynamics and agent-based simulations for workforce climate // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.667-671.

Maroulis S., Wilensky U. (2006). Using agent-based modeling to understand the social dynamics of schools // Paper presented at the Teacher Networks conference, Northwestern University, Evanston,IL, November 8.

Mayer Ralf H. Estimating operational benefits of aircraft navigation and air traffic control procedures using an integrated aviation modeling and evaluation platform // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1569-1577.
This paper reports on an integrated aviation modeling platform that was developed for comparing and evaluating proposed aircraft flight operations and ATC procedures. It integrates both an agent-based Monte Carlo modeling environment and a data-driven model validation capability. The capabilities are outlined, the validation approach is described, and examples are presented of performance metrics quantifying operational benefits of air navigation procedures that are currently being implemented at major U.S. airports.

Michael P., Fujimoto Richard M., Suh Wonho, Hoe Kyoung Kim. An investigation of real-time dynamic data driven hunter transportation simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1414-1421.
This paper explores the ability to create an accurate estimate of the evolving state of transportation systems using real-time roadway data aggregated at various update intervals. It is
found that simulation based on inflow data aggregated over a short time interval is capable of providing a superior representation of the real world over longer aggregate intervals.

Montevechi Jose Arnaldo Barra, Filho Renaldo Gonzaga de Almeida, Medeiros Andre Luiz. Application of factorial designs for reducing factors in optimization via discrete-event simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1977-1984.
This work concludes with brief considerations on the Factorial Designs and optimization via simulation integration.

Murray-Tuite Pamela M. A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1398-1405.
Resilience is a characteristic that indicates system performance under unusual conditions, recovery speed, and the amount of outside assistance required for restoration to its original functional state. Resilience is important for daily events, such as vehicle crashes, and more extreme events, such as hurricanes and terrorist attacks. Transportation resilience has ten dimensions: redundancy, diversity, efficiency, autonomous components, strength, collaboration, adaptability, mobility, safety, and the ability to recover quickly. This paper examines the influence of the system optimal and user equilibrium traffic assignments on the last four dimensions.

Nakayama Marvin K. Output analysis for simulations // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.36-46.
We discuss methods for statistically analyzing the output from stochastic discrete-event or Monte Carlo simulations. Terminating and steady-state simulations are considered.

Nandi Amitava, Rogers Paul. Optimal control of make-to-order manufacturing
systems via selected order acceptance // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.2003-2011.

Capacity constrained make-to-order manufacturing systems with exogenously set due dates and heavy tardiness penalties can be effectively managed by selective acceptance of orders, especially when the system encounters heavy congestion. This is demonstrated using a popular order acceptance rule. How this rule can optimally control a manufacturing system under different environments and how the main performance measures of the manufacturing system are affected in doing so, are demonstrated and analyzed. The study is done on a simulated hypothetical manufacturing system used as a testbed.

Ni Daiheng. A framework for new generation transportation simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1508-1514.
This paper discussed the evolution and future trend of simulation in general domain and in transportation. Some challenges facing transportation modeling and simulation were identified. As an effort to address these challenges, a framework of new generation transportation simulation was developed. The framework is envisioned to be multiscale in resolution, parallel in execution, and driven by objects. The paper further discussed strategies of transportation simulation at a nanoscopic level which offers a level of modeling detail beyond the state-of-the-art.

North Michael J., Collier Nicholson T., Vos Jerry R. Experiences Creating Three Implementations of the Repast Agent Modeling Toolkit // ACM Transactions on Modeling and Computer Simulation, Vol. 16, No. 1, January 2006, Pages 1–25.
This article focuses on the implementation of simulation architectures rather than agent communications languages. It is hoped that ongoing architecture standards efforts will benefit from this new knowledge and use it to produce architecture standards with increased robustness.

Orcun Seza, Uzsoy Reha, Kempf Karl. Using system dynamics simulations to compare capacity models for production planning // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1855-1862.
While a variety of optimization formulations of production planning problems have been proposed over the last fifty years, the majority of these are based on simple models of capacity that fail to reflect the nonlinear relationship between workload and lead times induced by the queuing behavior of capacitated production resources. We use system dynamics simulations of a simple capacitated production system to examine the performance of several different capacity models that yield load-dependent lead times, and relate these models to those used in system dynamics models of production systems.

Painter Michael K., Erraguntla Madhav, Hogg Gary L., Beachkofski Brian. Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1253-1260.
This paper presents an innovative methodology that combines simulation, data mining, and knowledge-based techniques to determine the near- and long-term impacts of candidate aircraft engine maintenance decisions, particularly in terms of life-cycle cost and operational availability. Simulation output is subjected to data mining analysis to understand system behavior in terms of subsystem interactions and the factors influencing life-cycle metrics.

Patvivatsiri Lisa. A simulation model for bioterrorism preparedness in an emergency room // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.501-508.
This paper presents an innovative and sophisticated computer simulation model of the emergency room (ER) at the hospital featured in this study.

Persson Anna, Grimm Henrik, Ng Amos. On-line instrumentation for simulation-based optimization // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.301-311.
This paper argues that a number of advantages, including efficiency enhancement, gaining insight from the optimization trajectories and higher controllability of the SO processes, can be brought out by an on-line instrumentation approach. This argument is supported by the illustration of an instrumentation component developed for a SO system designed for solving real-world multi-objective operation scheduling problems.

Perumalla Kalyan S. A systems approach to scalable transportation network modeling // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1500-1507.

Perumalla Kalyan S. Parallel and distributed simulation: traditional techniques and recent advances // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.84-95.
This tutorial on parallel and distributed simulation systems reviews some of the traditional synchronization techniques and presents some recent advances.

Railsback S., Lytinen S., Jackson S. (2006). Agent-based Simulation Platforms: Review and Development Recommendations // SIMULATION, 82(9), pp.609-623.

Rand W. (2006). Machine Learning Meets Agent-Based Modeling: When Not to Go to a Bar // Paper presented at Agent 2006, Chicago, IL.

Rand W., Wilensky U. (2006). NetLogo 3.1: Low Threshold, No Ceiling // Paper presented at NAACSOS 2006, South Bend, IN, June 2006.

Rand W., Wilensky U. (2006). Verification and Validation through Replication: A Case Study Using Axelrod and Hammond's Ethnocetnrism Model // Paper presented at NAACSOS 2006, South Bend, IN, June 2006.

Rand W., Blikstein P., Wilensky U. (2006). Widgets, Planets, and Demons: the Case for the Integration of Human, Embedded, and Virtual Agents via Mediation // Paper presented at Swarmfest 2006, South Bend, IN, June 2006.

Roberts B. (2006). Blocked exit syndrome: A serious risk in venue emergencies // Fire & Safety Magazine, Fall 2006.

Rong Liu, Akhil Kumar, Alan Stenger. Simulation Results for Supply Chain Configurations Based on Information Sharing // Proceedings of the 2006 Winter Simulation Conference, p. 627-635.

Rossetti Manuel D., Hobbs Bradley J., Faas Paul D. An object-oriented framework for simulating automatic data collection systems // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1545-1553.
In this paper, we discuss the design and use of a proto-type object-oriented framework for simulating automatic data collection systems within their operational contexts. We motivate the purpose of the framework and how the framework can be used through the use of a simple scenario on an airbase. In addition, we overview the design by examining the major conceptual artifacts within the object-oriented model. The framework is built on a Java Simulation Library and permits easy modeling and execution of simulation models. The results and discussion indicate the flexibility and power of modeling with the framework.

Rossetti Manuel D., Miman Mehmet, Varghese Vijith, Xiang Yisha. An object-oriented framework for simulating multi-echelon inventory systems // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1452-1461.
In this paper, we discuss the design and use of an object oriented framework for simulating multi-echelon inventory systems. We present a context for how the framework can be used through its application on two examples. In addition, we describe the design by examining the major conceptual artifacts within the object-oriented model. The framework is built on a Java Simulation Library (JSL) and permits easy modeling and execution of simulation models.

Ruohonen Toni, Neittaanmäki Pekka, Teittinen Jorma. Simulation model for improving the operation of the emergency department of special health care // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.453-458.
This paper presents a simulation model which describes the operations in the Emergency Department of Special Health Care at the Central Hospital of Jyväskylä, Finland. It can be used to test different process scenarios, allocate resources and perform activity based cost analysis. By using the simulation model we demonstrate a new operational method, which makes the operation of the Emergency Department of Special Health Care more effective. The results showed that this method improves the operation of the Emergency Department of Special Health Care substantially (over 25 %), if it is implemented properly and includes all the necessary tasks.

Rzevski G. Himoff J., Skobelev P. MAGENTA Technology: A Family of Multi-Agent Intelligent Schedulers // International conference on multi-agent systems // Proceedings of Workshop on Software Agents in Information Systems and Industrial Applications 2 (SAISIA). Fraunhofer IITB, Germany, February 2006.

Sadowski Deborah A., Sturrock David T. Tips for the successful practice of simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.67-72.
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.

Salling Kim Bang, Leleur Steen. Assessment of transport infrastructure projects by the use of Monte Carlo simulation: the CBA-DK model // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1537-1544.
This paper presents the Danish CBA-DK software model for assessment of transport infrastructure projects. The assessment model is based on both a deterministic calculation following the cost-benefit analysis (CBA) methodology in a Danish manual from the Ministry of Transport and on a stochastic calculation, where risk analysis (RA) is carried out using Monte Carlo Simulation. After a description of the deterministic and stochastic calculations emphasis is paid to the RA part of CBA-DK with considerations about which probability distributions to make use of. Furthermore, a comprehensive assessment of the set of distributions are made. Finally conclusions and a perspective are presented.

Samuelson D.A., Macal C.M. Agent-Based Simulation Comes of Age // OR/MS Today, 2006, Vol. 33, No. 4, pp. 34. – 38.

Sargent Robert G., Nance Richard E., Overstreet C. Michael, Robinson Stewart, Talbot Jayne. The simulation project life-cycle: models and realities // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.863-871.

Sanchez Paul J. As simple as possible, but no simpler: a gentle introduction to simulation modeling // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.2-10.
This overview of the process helps clarify when we should or should not use simulation models. We discuss some common missteps made by many inexperienced modelers, and propose a concrete approach for avoiding those mistakes.

Sanchez Susan M. Work smarter, not harder: guidelines for designing simulation experiments // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.47-57.
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.

Schriber Thomas J., Brunner Daniel T. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.118-128.
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.

Schultz Scott R. A glass float line simulation: modeling methodology and applications // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.688-693.
A glass float line begins as a continuous process, liquid glass in a furnace, being pulled down a cooling conveyor in a continuous ribbon of glass. The process then becomes discrete as the ribbon is scored and broken into individual streams. Using some insight, a simulation model is developed that is strictly discrete. Four applications of the model are presented. The first demonstrates how the model assists with the day to day operation of the float line. A second application looks at modifying the control rules which sequence and schedule the glass production. The final two applications show how the model is used to study design alternatives for a future float line.

Seila Andrew F. Spreadsheet simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.11-18.
“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.

Semini Marco, Fauske Hakon, Strandhagen Jan Ola. Applications of discrete-event simulation to support manufacturing logistics decision-making: a survey // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1946-1953.
This paper presents a literature survey on recent use of discrete event simulation in real-world manufacturing logistics decision-making. The sample of the survey consists of 52 relevant application papers from recent Winter Simulation Conference proceedings.

Sengupta P., Wilensky U. (2006) NIELS: An agent-based modeling environment for learning electromagnetism // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Shibghatullah Abdul S., Eldabi Tillal, Kuljis Jasna. A proposed multiagent model for bus crew scheduling // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1554-1561.
The paper presents agents analysis and design using Gaia methodology.

Sokolov B.V., Ivanov D., Archipov A., Tolkacheva V. Decision Making Framework under Integrated Risk Modelling in Collaborative Enterprise Network // Erich Schmidt Verlag GmbH&Co., Berlin, 2006. Operation and Technology Management. V. 2.

Sokolov B.V., Ivanov D., Kaeschel J., Arkhipov A.A. Conceptual Framework for Modeling Complex Adaptation of Collaborative Networks // Network – Centric Collaboration and Supporting Frameworks, IFIP TC5WG 5.5 Seventh IFIP Working Conference on Virtual Enterprises, 25-27 September 2006, Helsinki, Finland, Edited by L. M. Camarinha-Matos, H. Af-sarmanesh and M. Ollus. Springer.

Sokolov B.V., Zaychik E., Ivanov D.A. The Formalization and Investigation of Process for Structure-Dynamic Control Models Adaptation of Complex Business Systems // 20th European Conference on Modeling and Simulation ESMS 2006, “Simulation in Wider Europe”, 28–31 May 2006. Bonn, St.Augustin, The University of Applied Science Bonn-Rhein-Sieg, 2006.

Solding Petter, Thollander Patrik. Increased energy efficiency in a Swedish iron foundry through use of discrete event simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1971-1976.
The paper presents a methodology to analyze and reduce the energy use within energy-intensive companies where the Swedish foundries are the main targets. The methodology is tested on a Swedish iron foundry. The paper shows that using specially built simulation models companies can lower their energy costs by planning the production in a more efficient way.

Somanathan Saran, Flynn Peter C., Szymanski Jozef. The northwest passage: a simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1578-1585.

Sondahl F., Tisue S., Wilensky U. (2006). Breeding faster turtles: Progress towards a NetLogo compiler // Paper presented at Agent 2006, Chicago, IL.

Standridge Charles R., Marvel Jon H. Why Lean needs simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1907-1913.
Lean methods have become the standard approach to the resolution of design and operational issues in production and other systems. However, the lean approach has deficiencies. The deficiencies that simulation can address are presented, discussed and illustrated. These deficiencies include modeling and assessing the effects of variation, making use of all available data, validating the effects of proposed changes before implementation as well identifying other possible improvements, and assessing the interaction effects between system components. Various industrial applications are presented that show that simulation was required to successfully address operational issues that the lean approach failed to identify and could not resolve.

Starks Darrell W., Schwieters Robert S., Creces Daniel. A decision support tool for Dofasco’s primary steelmaking operations // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1985-1988.

Stec Michal. Fast creation of realistic and efficient free path network within a simulation model of a shop floor and a supply chain system // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1531-1536.
This paper describes a technique developed for Arena (Rockwell Software) that builds automatically a realistic and integrated network among hundreds of nodes in a matter of minutes, giving the modeler practically unlimited field for further enhancement as far as the movement logic is concerned. Above that the created network “knows” the distances and shortest directions between each and every pair of nodes and navigates the free path object accordingly.

Taaffe Kevin, Johnson Matt, Steinmann Desiree Improving hospital evacuation planning using simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.509-515.
Hospital evacuation in the event of a hurricane is a complex and unpredictable process. Recent natural disasters have called attention to the importance of a timely evacuation plan. The success of an evacuation greatly depends on developing and evaluating alternative plans. However, there is no standard approach to address the issues of a hospital evacuation. This research describes the development of a simulation model and initial analysis to assess the effectiveness of an evacuation plan given different scenarios and resources.

Takahashi Toshihiro, Mizuta Hideyuki. Efficient agent-based simulation framework for multi-node supercomputers // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.919-925.
In this paper we present an efficient algorithm to find an approximate solution. Our algorithm is reliable, simple, and needs little computation. We demonstrate its beneficial effects with some experiments.

Thavamani Sudha. Control of C2 unit using arena modeling and simulation // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1316-1323.
This paper reports the results of a simulation study using Arena on a system resembling a part of the high level supporting structure of a Command and Control Center for military air operations. The system is modeled as a reconfigurable queuing network with servers that are subject to failures and with a human operator unit.

Thorne B., Bailey A, Benedict K., Peirce-Cottler S. (2006). Modeling blood vessel growth and leukocyte extravasation in ischemic injury: an integrated agent-based and finite element analysis approach // Journal of Critical Care, 21(4), 346.

Unterman J., Wilensky U. (2006). PANDA BEAR: Perimeter and area by embodied agent reasoning // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Wang Paul T. R., Snow Richard E. Airspace geometry and 4d flight proximity detection for simulation of the national airspace system // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1562-1568.
The authors present uncomplicated and well established equations that can be used in simulation or real-world applications to determine key crossing points and aircraft proximity when the trajectory and speed of aircraft pairs are known. These equations, in closed form, were developed for computing the minimum distance between two aircraft within the four-dimensional (4D) space-time domain. The 4D flight proximity information can be used in simulation to evaluate large numbers of scheduled routes over a limited airspace for controller workload assessment. Also, it can be used to detect potential separation violations and impacts of traffic flow management strategies.

Wang Xiaohua, Takakuwa Soemon. MODULE-BASED MODELING OF PRODUCTION-DISTRIBUTION SYSTEMS CONSIDERING SHIPMENT CONSOLIDATION // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1477-1484.

Liu and Takakuwa Wijewickrama, A. and S. Takakuwa. 2006. Simulation analysis of an outpatient department of internal medicine in a university hospital // In Proceedings of the 2006 Winter Simulation Conference, edited by L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, and R. M. Fujimoto, 425-432. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

Wijewickrama A.K. Athula, Takakuwa Soemon. Simulation analysis of an outpatient department of internal medicine in a university hospital // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.425-432.
Discrete event simulation model was developed to examine doctor schedule mixes (DSM) and various appointment schedules (AS) in a mixed-patient type environment in an outpatient department of internal medicine of a university hospital. It could identify some of the best DSM by integrating a simulation model into an optimization program. Combining one DSM found via an optimization program with some AS, the patient waiting time could be reduced drastically without adding extra resources.

Wilensky U. (2006). Complex systems and restructuration of scientific disciplines: Implications for learning, analysis of social systems, and educational policy // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA, April 7-11.

Wilensky U. (2006). Promoting ABM literacy: implications for design, scientific content and education // Paper presented at Agent 2006, Chicago, IL.

Wilensky U., Abrahamson D. (2006). Is a disease like a lottery?: Classroom networked technology that enables student reasoning about complexity // Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Wilensky U., Papert S. (2006). Restructurations: Reformulations of Knowledge Disciplines through a change in representational forms // Unpublished working paper. Evanston, IL. Center for Connected Learning and Computer-Based Modeling. Northwestern University.

Wilensky U., Reisman K. (2006). Thinking Like a Wolf, a Sheep or a Firefly: Learning Biology through Constructing and Testing Computational Theories -- an Embodied Modeling Approach // Cognition & Instruction, 24(2), pp. 171-209.

Williams Edward J., Ulgen Onur M., Bailiff Sheldon, Lote Ravindra. Material handling resource utilization simulation study for stamping plant // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1940-1945.
This paper describes the application of dynamic simulation to evaluate material handling resource utilization for a stamping plant in the automotive industry. The other objective of this study was evaluation of throughput relative to press schedules, shift patterns, the number of material handling resources, and storage inventory levels. This dynamic simulation study enabled plant managers to balance the driver utilization with respect to time and to accommodate typical press schedules to achieve desired throughput levels.

Xie Q., Tinker R. (2006). Molecular Dynamics Simulations of Chemical Reactions for Use in Education // Journal of Chemical Education, 83(1), 77.

Yoon H.J., Shen W. Simulation-based real-time decision making for manufacturing automation systems: a review [Принятие решений в реальном времени на основе моделирования для систем автоматизации производства] // International Journal of Manufacturing Technology and Management 8 (2006) 188–202.

Yun Ilsoo, Byungkyu «Brian» Park. Application of stochastic optimization method for an urban corridor // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1493-1499.
This paper presents a stochastic traffic signal optimization method that consists of the CORSIM microscopic traffic simulation model and a heuristic optimizer.

Yu Qiuli, Duffy Vincent, McGinley John, Rowland Zachary. Productivity simulation with promodel for an automotive assembly workstation involving a lift assist device // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.1935-1939.

Zhao Gang, Zhou Yakun, Vakili Pirooz. A new efficient simulation strategy for pricing path-dependent options // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.703-710.
The purpose of this paper is twofold. First, it serves to describe a new strategy, called Structured Database Monte Carlo (SDMC), for efficient Monte Carlo simulation. Its second aim is to show how this approach can be used for efficient pricing of path-dependent options via simulation. We use efficient simulation of a sample of path-dependent options to illustrate the application of SDMC. Extensions to other path-dependent options are straightforward.

Zülch Gert. Modelling and simulation of human decision-making in manufacturing systems // Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. – 2006. – P.947-953.
This article deals with various concepts for the modelling of human decisions in manufacturing systems, namely from human decision makers as passive resources over the modelling of decisions based on global rules to the modelling of active decision makers with individual, locally valid decision making rules. Each of these various types of modelling will be elucidated using an application example.

Александров А.А. Создание контрольных точек при моделировании в системе GPSS World // Материалы VIII Школы-семинара молодых ученых «Математическое моделирование и информационные технологии», ИДСТУ СО РАН, 2006, c.10-13.

Алексеев И.В. Моделирование транспортной системы // Материалы 54-ой региональной научно-технической конференции творческой молодежи Дальнего Востока «Молодежь – наука – инновации» / Морской государственный университет, Владивосток, 2006, c. 656-659.

Алексеев И.В. Некоторые результаты моделирования транспортной системы // Транспортное дело России. Специализированный выпуск, Часть IV. / ИПК «Московская правда», Москва, 2006, с. 26-29.

Алексеев И.В. Особенности имитационного моделирования транспортных процессов // Сборник материалов четвертой научно-практической конференции / Морской государственный университет, Владивосток, 2006, с. 3.

Алексеев И.В. Построение имитационной модели транспортной системы // Журнал «Современные технологии автоматизации». (http://www.cta.ru/online_progr-model.htm).

Аристов С.А. Многофункциональные имитационные системы поддержки принятия решений // Вестник Челябинского государственного университета. - 2006. - №5 (78). - С. 40-45.

Афонин П.В. Гибридная система эвристического поиска в имитационном моделировании // Научная сессия МИФИ-2006. Том 3. Интеллектуальные системы и технологии / Московский государственный технический университет им. Н.Э. Баумана, c. 202-203.

Афонин П.В. Гибридные системы интеллектуального имитационного моделирования // Новости искусственного интеллекта. - 2006. - №1.

Бабкин Е.А. О синтезе событийных моделей дискретных систем // Ученые записки. Электронный научный журнал Курского государственного университета. Выпуск № 1, 2006.
Предлагается метод синтеза математических и программных событийных моделей, представляемых в виде событийного графа в алгоритмической форме или событийного алгоритма. Для дискретных систем, имеющих в основе процессы обслуживания, предлагается в качестве промежуточной математической модели использовать модель в виде сети массового обслуживания, которая затем преобразуется в событийный граф. Рассмотрено также преобразование событийного графа в программную модель.

Башаримов В.В., Якимов А.И. Решение задач рационального выбора параметров систем в ПТКИ BelSim на основе алгоритма случайного поиска // Интеллектуальные системы (AIS’06) и Интеллектуальные САПР (CAD’06) : тр. Междунар. науч.-техн. конф., Дивноморск, Россия, 3–10 сент. 2006 г. : в 3 т. – М. : Физматлит, 2006. – Т. 1. – С. 358–362.

Бобков С.П., Иванников А.И., Урюпина Н.М. Оптимизация структуры системы массового обслуживания // Современные наукоемкие технологии. Региональное приложение. – 2006. – № 3. – С. 3–5.

Бойченко И.В., Грибанова Е.Б., Мицель А.А. Автоматизированная система имитационного моделирования управления запасами // Информационные системы: Тр. постоянно действующего научно-технического семинара / Том. гос. ун-т систем упр. и радиоэлектроники, Отд. проблем информатизации ТНЦ СО РАН; под ред. А.М. Корикова. – Вып. 4. – Томск, 2006. – C. 118–125.

Борщев А.В., Попков Т.В. Мировой опыт оценки стратегических решений и рисков при управлении транспортно-логистической инфраструктурой // Петербургский транспортно-логистический форум. Июнь 2006 г.

Бочаров Е.П., Ермошин Д.В. Роль информационных технологий в управлении предприятием. Имитационное моделирование // Сборник материалов международной научно-практической конференции, посвященной 75-летию образования Саратовского государственного социально-экономического университета «Проблемы и перспективы совершенствования управления национальным экономическим потенциалом» (2-3 февраля 2006), СГСЭУ, Саратов, 2006, с.147-148.

Бурмистров М.Ю., Валиев М.К., Дехтярь М.И., Диковский А.Я. О верификации динамических свойств систем взаимодействующих агентов. // Труды X национальной конференции по искусственному интеллекту с международным участием, Обнинск, Физматлит, Москва, 25-28 сентября 2006 года.

Валуев А.М. Программно-информационные средства имитационного моделирования реализации календарных планов открытой угледобычи // Горный информационно-аналитический бюллетень (научно-технический журнал), № 6, 2006 год. С.199-203.
В статье рассматриваются вопросы моделирования производственных процессов во временном масштабе календарного планирования - текущего и оперативного.

Востокин С.В. Исследование связи между эффективностью распределенных вычислений и качеством обслуживания коммуникационной среды с использованием имитационной модели // Труды Международного симпозиума «Надежность и качество», том 1, 2006 год.

Галушко В.Н., Левчук В.Д., Максимей И.В., Могила В.С., Чечет П.Л. Технология имитационного моделирования динамики обслуживания пассажиропотока городским транспортом // System Research & Information Technologies, № 1, 2006, c. 18-30.

Горохов А.В., Олейник А.Г. Использование методов системной динамики в мультиагентных моделях // Информационные технологии в региональном развитии. Выпуск VI / Апатиты, 2006, с. 20-24.

Грибанова Е.Б., Мицель А.А. Алгоритмические имитационные модели управления материальными запасами на складе // Известия Томского политехнического университета. 2006. Т. 309. № 8. С.201-207.
Приводится описание имитационных моделей управления материальными запасами. Предложены алгоритмы имитационных моделей, создана автоматизированная система «Запас» и выполнено моделирование. Преимуществом имитационного моделирования является возможность моделирования сложных систем в тех случаях, когда затруднено использование аналитических методов, необходимо учитывать стохастический характер протекающих в системе процессов, компоненты системы изменяются во времени и взаимодействуют.

Дегтярев О. В. и др. Комплекс имитационного моделирования УВД // Труды научно-технической конференции «Авиационные системы в ХХI веке», Том 2 / НИЦ ГосНИИАС, Москва, 2006.

Дiденко Д.Г. Агентная архитектура распределенной дискретно-событийной системы моделирования бизнес-процессов // X Міжнародна наукова практична конференція "Інформаційні технології в економіці, менеджменті і бізнесі. Проблеми науки, практики і освіти, м.Київ. - 2006. - c.131-135.

Діденко Д.Г. Агент реплікації в розподіленій дискретно-подійній системі імітаційного моделювання OpenGPSS. // Міжнародна наукова конференція «Інтелектуальні системи прийняття рішень та прикладні аспекти інформаційних технологій», т. 1, м. Eвпаторія, 2006, c.264-266.

Діденко Д.Г. Реплікація в розподіленій дискретно-подійній системі імітаційного моделювання OpenGPSS // X Міжнародна наукова практична конференція "Інформаційні технології в економіці, менеджменті і бізнесі. Проблеми науки, практики і освіти, м.Київ. - 2006. - c.135-139.

Долматов М.А., Любимова И.Е., Плотников А.М. Опыт применения методов имитационного моделирования для анализа производственных систем в процессе создания сложных технических изделий. // Сборник тезисов докладов межотраслевой конференции «Подводное кораблестроение в России: состояние, проблемы, перспективы» – «ВОКОР-ПЛ-2006», Санкт-Петербург, 2006.

Долматов М.А., Плотников А.М. Имитационное моделирование для задач анализа функционирования действующих и реконструируемых судостроительных производств. // Сборник докладов Всероссийской научно-технической конференции «Современные технологии в кораблестроительном и энергетическом образовании, науке и производстве», Нижний Новгород, Нижегородский государственный технический университет, 2006, с.31-35.

Дорошенко А.Е., Жереб К.А., Шевченко Р.С. О моделировании сенсорных сетей средствами высокого уровня // 2006 год.
В работе предложен подход к моделированию сенсорных сетей, объединяющий возможности среды визуального моделирования AnyLogic и системы символьных вычислений TermWare. Для демонстрации этого подхода разработан прототип системы моделирования. Рассматривается пример декларативного описания протокола – простой синхронный протокол доступа к каналу.

Емельянов А.А. Технологии имитационного моделирования в системе Pilgrim // Журнал «Прикладная информатика», № 3 2006. Москва. С.61-83.

Ермошин Д.В. Совершенствование управления предприятиями обойной отрасли с использованием технологии имитационного моделирования // Вестник Саратовского государственного социально-экономического университета, Выпуск 14(3), Саратов, 2006.

Ермошин Д.В. Оптимизация процессов управления производством путем применения методов имитационного моделирования // Научный альманах «Математическое и информационное обеспечение экономической деятельности» (Посвящается 75-летию СГСЭУ), Саратовский государственный социально-экономический университет, Саратов, 2006.

Жуков Ю.Д., Иванченко А.Т. Использование имитационного моделирования в автоматизированных управляющих системах плавучих доков // Наукові праці, Том 61, Випуск 48, Украина, c.20-25.
Показана необходимость использования имитационного моделирования в работе автоматизированных измерительно-информационных управляющих систем экологически опасных производственных комплексов. На примере управления плавучим доком изложены принципы применения имитационной модели в тренажерах для обучения обслуживающего персонала, а также в реальном управлении процессом докования, что обеспечивает выбор оптимальных решений и исключает возможность возникновения аварийных ситуаций при ошибках операторов.

Зайцев Д.А., Шинкарчук Т.Н. Моделирование телекоммуникационных сетей в системе NS // Збiрник Наукових праць ОНАЗ iм. О.С. Попова, № 2, 2006. - с. 35-43.
Выполнено построение модели фрагмента Европейской магистрали Интернет в среде моделирующей системы NS. Для оценки пропускной способности магистрали, времени доставки пакета и процента доставленных пакетов разработаны соответствующие скрипты ОС Unix, выполняющие анализ полной трассы имитационного моделирования. Подтверждена адекватность ранее представленных моделей, построенных в форме раскрашенных сетей Петри.

Карасев Н.А., Кислухина Е.В., Васильев В.А. Использование теории массового обслуживания в организации лечебного процесса на госпитальном этапе скорой медицинской помощи // Вестник международной академии наук (русская секция), №1, 2006. С.65-68.

Кобелев Н.Б. Повышение «электронной готовности» принимаемых решений на основе имитационного моделирования // Журнал «Прикладная информатика» № 5, 2006.

Королёв А.Г. Система Object GPSS как средство моделирования сложных систем // Сборник «Системы контроля и управления технологическими процессами», УДК 62.529 / Украина, Луганск, Свитлица, 2006, c.371-384.

Котов К.Ю. Математические модели взаимодействия агентов в коллективах // Материалы VIII школы семинара молодых ученых Математическое моделирование и информационные технологии. – Иркутск, 2006. – С. 82-86.

Левчук В.Д. Имитационное моделирование технологического процесса с иерархической структурой // Реєстрація, зберігання і обробка даних, № 3, Том 8, Республика Беларусь, 2006, с. 89-103.
Предложен подход к формализации технологических процессов производства с иерархической структурой на основе инструментальных средств симулятора MICIC4. В процессе постановки имитационных экспериментов было показано, что разработанный инструментарий является эффективным средством изучения данных объектов.

Лещев В.А., Семенов А.Ф, Кеменов И.А., Конюхов И.А. Агентно-ориентированная технология проектирования // Программные продукты и системы. 2006. № 1. C.23-29.

Лычкина Н.Н. Современные технологии имитационного моделирования и их применение в информационных бизнес-системах. Тезисы докладов XIV Международной студенческой школы-семинара «Новые информационные технологии» – М.: МИЭМ, 2006 - 489 с, стр. 64-73.

Маслобоев А.В., Путилов В.А., Шишаев М.Г. Обзор современного состояния технологии мультиагентных систем и перспективы ее развития // Сб. науч. тр. ИИММ КНЦ РАН: Информационные технологии в региональном развитии, Апатиты, КНЦ РАН, с.6-12, 2006.

Новиков Е.А., Шорников Ю.В. Контроль устойчивости метода Фельберга седьмого порядка точности // Журнал «Вычислительные технологии», том 11, выпуск № 4, 2006. С.65-72.
An inequality for the stability control of Felberg method of 7th order of accuracy is formulated, which is based on the evaluation of maximum eigenvalue of Jacoby matrix by the power-law method. This evaluation does not increase the number of calculations of the right-hand side of ODE. The results of computations are provided, which confirm the almost double increase of efficiency of the method due to the additional stability control.

Окольнишников В.В. Разработка системы распределенного имитационного моделирования // Информационные технологии. — М., 2006. — № 12. — С. 28–31.

Окольнишников В.В. Разработка средств распределенного имитационного моделирования для многопроцессорных вычислительных систем: Дис. докт. технических наук: 05.13.18. — Новосибирск, 2006. — 148 с.

Охтилев М.Ю., Соколов Б.В. Концепции и методы комплексного моделирова-ния технологий самоуправляемых вычислений в критических приложениях // III Международная конференция «Параллельные вычисления и задачи управления», Москва, 2–4 октября, 2006 г.

Панкова Л.А., Пронина В.А. Способы создания универсального инструментария для компьютерного моделирования // Журнал «Проблемы управления», Выпуск № 6, 2006 год. С.2-5.
Рассмотрены современные технологии компьютерного моделирования и классификация компьютерных моделей. Выделены подходы к созданию универсального инструментария для компьютерного моделирования на основе современных технологий.

Патаракин Е.Д., Ярмахов Б.Б. NetLogo в моделировании социальных феноменов и на занятиях по менеджменту // Конференция «Свободное программное обеспечение в высшей школе», Переславль-Залесский, 28–29 января 2006 года, с. 36 – 38.

Попков Т., Гарифуллин М. Оптимизация цепочек поставок: транспортные сети // Конъюнктура Товарных Рынков. Маркетинг & Логистика. №1, 2006 г.

Росляков А.В., Ваняшин С.В. Анализ вероятностных характеристик ЦОВ при обслуживании разноприоритетных заявок // Тезисы докладов XIII юбилейной Российской научной конференции профессорско-преподавательского состава, научных сотрудников и аспирантов, ПГАТИ, Самара, 2006, с.45.

Рубин Ю.Б. Постановка задач имитационного моделирования тактических защитных конкурентных действий // Журнал «Прикладная информатика», №3 (3), Москва, 2006.

Рудометов С.В. Система распределенного имитационного моделирования для МВС-1000/М // Труды Международной научно-методической конференции «Классический университет в российском образовательном пространстве» (к 90-летию Пермского государственного университета). Пермь, 2006, с.82–84.

Рыжиков Ю.И. Средние времена ожидания и пребывания в многоканальных приоритетных системах // Журнал «Информационно управляющие системы», № 6, 2006. С.43-49.
Предлагается способ расчета средних времен ожидания и пребывания заявок в n-канальной системе с относительным, абсолютным и смешанным приоритетами при произвольных и различных по типам заявок распределениях длительностей чистого обслуживания. Точность расчетов иллюстрируется сопоставлением с результатами имитационного моделирования и пересчетов на основе «инвариантов отношения». Обсуждается расчет «замкнутых» приоритетных систем.

Савенков К.О., Смелянский Р.Д. Масштабирование дискретно-событийных имитационных моделей // Журнал «Программирование», № 6, 2006, с.14-26.

Сердюк А.И., Сергеев А.И., Корнипаев М.А., Гильфанова Ф.Ф. Стратегия и тактика формирования технического предложения по созданию гибких производственных систем механообработки // Журнал «Вестник Оренбургского государственного университета», выпуск № 1 (51), 2006 год. С.138-145.

Соколов Б.В., Москвин Б.В., Михайлов Е.П., Павлов А.Н. Комбинированные модели управления структурной динамикой сложных технических объектов // Известия Вузов. Приборостроение.- 2006, том № 49, № 11.

Соколов Б.В., Потрясаев С.А., Тарасов О.М., Иконникова А.В. Полимодельное описание и исследование процессов модернизации и функционирования катастрофоустойчивых информационных систем // Х Санкт-Петербургская Международная конференция «Региональная информатика-2006 (РИ-2006)». Санкт-Петербург, 24-26 октября 2006 года: Материалы конференции. — СПб.: СПОИСУ, 2006.

Соколов Б.В., Юсупов Р.М. Комплексное моделирование рисков при выработке управленческих решений в сложных организационно-технических системах // Проблемы информатики и управления, №1–2 2006.

Соколов Б.В., Юсупов Р.М. Проблемы оценивания и анализа качества моделей // VI Международная научно-техническая конференция «Кибернетика и технология XXI века», Воронеж, май 2005 г. Сборник трудов НТК.–Воронеж, ВГУ, 2006.

Статников И.Н., Фирсов Г.И. Методика комплексного экспериментального исследования процессов восприятия и переработки вибротактильной информации человеком-оператором в экстремальных условиях // Журнал «Известия Южного федерального университета. Технические науки», выпуск № 11, том 66, 2006 год. С.9-16.

Стеценко І.В., Бойко Ю.В. Імітаційне моделювання транспортного руху через світлофорні об’єкти // Вісник Черкаського державного технологічного університету. – 2006. – № 3. – С. 75–79.

Томашевский В.Н., Диденко Д.Г. Агентная архитектура распределенной дискретно-событийной системы имитационного моделирования OpenGPSS // Системні дослідження та інформаційні технології. № 4, 2006 / ВПК «Політехніка», Київ, 2006, c.123-133.

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