Статьи 2010 года (A...Z)



AbouRizk S.M. Role of simulation in construction engineering and management [Роль моделирования в строительстве и менеджменте] // Journal of Construction Engineering and Management 136 (10) (2010) 1140–1153.

Abrahamson D. (2010). A tempest in a teapot is but a drop in the ocean: action-objects in analogical mathematical reasoning // In K. Gomez, L. Lyons & J. Radinsky (Eds.) Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010) (Vol. 1 [Full Papers], pp. 492-499). International Society of the Learning Sciences: Chicago, IL.

Aksyonov K.A., Bykov E.A., Smoliy E.F., Sufrygina E.M., Aksyonova O.P., Popov A.V. and others. BPsim.DSS – Intelligent Decision Support System based on Multi-agent Resource Conversion Processes: Development and Application Experience // Proceedings of the Second International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM.2010). Bali, 2010. p. 137-142.
BPsim.DSS – интеллектуальная система поддержки принятия решений основанная на мультиагентном процессе преобразования ресурсов: Опыт разработки и применения.

Aksyonov K.A., Bykov E., Smoliy E., Sufrygina E., Aksyonova O., Wang Kai. Development and Application of Decision Support System BPsim.DSS // Proceedings of the IEEE 2010 Chinese Control and Decision Conference (CCDC 2010). Xuzhou, China, 2010. p.1207-1212.
Разработка и применение системы поддержки принятия решений BPsim.DSS.

Aksyonov K.A., Bykov E., Smoliy E., Sufrygina E., Skvortsov A. Intelligent decision support based on multi-agent simulation of resource conversion processes // Proceedings of the 11th International PhD Workshop on Systems and Control. A Young Generation Viewpoint. Veszprém, Hungary, 2010. p. 45-50.
Интеллектуальная поддержка принятия решений, основанная на мультиагентном имитационном моделировании процессов преобразования ресурсов.

Alexandrov V., Sikachev V. Airport Airspace Traffic Simulation Research System // Computer Data Analysis and Modeling, Complex Stochastic Data and Systems, Processing Of the Ninth International Conference, Minsk, Sept. 7–11, 2010, Volume 2 / Publ. Center of BSU, Minsk, 2010, p.88–91.

Antonova G.M. Application of pattern recognition methods in optimization-simulation // Proceedings of 10th International Conference on Pattern Recognition and Image Analysis, New information technologies (PRIA-10-2010), Volume 1, «Politechnika», Sankt-Peterburg, 2010, p.67-68.

Antonova G.M. New algorithm for klystrons amplitude frequency characteristics optimizing // Proceedings of the IASTED International Conference «Automation, Control and Information Technology», Novosibirsk, Russia, 2010, p.217-222.

Banks J., Chwif L (2010). Estimating the implementation time for Discrete-Event Simulation model building. In: Proceedings of the Winter Simulation Conference, pp. 1774-1785.

Berryman M.J, Angus S.D. (2010). Software Tools for Analysis and Modelling of Complex Systems // In R. L. Dewar & F. Detering (Eds.) Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School. Sydney: World Scientific Publishing.

Bin Li, Wen-feng Li. Modeling and simulation of container terminal logistics systems using harvard architecture and agent-based computing // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.3396-3410.
As the highly complex logistics system, container terminal logistics systems (CTLS) play an increasingly important role in modern international logistics, and therefore their scheduling and decision-making process of much significance to the operation and competitiveness of harbors. In this paper, the handling, stacking and transportation in CTLS are regarded as a kind of generalized computing and compared with the working in general computer systems, whereupon the Harvard architecture and agent-based computing paradigm are fused to model the operational processing of CTLS, and the kernel thoughts in computer organization, architecture and operating system are introduced into CTLS to support and evaluate container terminal planning, scheduling and decision-making. A new agile, efficient and robust compound modeling and scheduling methodology for CTLS is obtained consequently. Finally a series of singlevessel simulations on handling and transportation are designed, implemented, performed, evaluated and analyzed, which validate the feasibility and creditability of the systematic methodology effectively.

Blikstein P., Wilensky U. (2010). MaterialSim: A constructionist agent-based modeling approach to engineering education // In M. J. Jacobson & P. Reimann, (Eds.), Designs for learning environments of the future: International perspectives from the learning sciences. New York: Springer.

Brito Robison Cris. A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors [Text] / Robison Cris Brito, Cesar Augusto Tacla, Valéria Ramos de Lúcia // Pesqui. Oper. – 2010. – Vol.30, nо.3. – P. 729-750.

Chu C.J., Weiner J., Maestre F.T., Wang Y.S., Morris C., Xiao S., Yuan J.L., Du G.Z., Wang G. 2010. Effects of positive interactions, competitive modes and abiotic stress on self thinning in simulated plant populations // Annals of Botany 106: 647-652.

Antonio Cimino, Francesco Longo, Giovanni Mirabelli A General Simulation Framework for Supply Chain Modeling:State of the Art and Case Study // IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 2, No 3, March 2010.

Cong R., Wei Y. (2010). Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options // Energy, 35, pp.3921-3931.

Davilia A.A., An G. (2010).An Agent Based Model of Liver Damage, Inflammation, and Repair: in Silico Translation of Cellular and Molecular Mechanisms to the Clinical Phenomena of Cirrhosis Using NetLogo // Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.

Davilia A.A., An G. (2010). An Agent Based Model of Liver Damage, Inflammation, and Repair: in Silico Translation of Cellular and Molecular Mechanisms to the Clinical Phenomena of Cirrhosis Using NetLogo // Journal of Surgical Research (ASC Abstracts Issue), 158(2):411.

Dehtyaruk N.T., Vidalko E.N. Design of work of the radioengineering systems taking into account the refusals // Вестник Национального технического университета Украины «КПИ». Серия – Радиотехника. Радиоаппаратура. - 2010. - №42. Р.87-93.
The system of the imitation design GPSS World is considered, with the purpose of design of work of the radioengineering systems taking into account the refusals. The radioengineering system is considered in this case, how the multichannel queuing system. Computation of middle employment of channels of service and middle employment of point of renewal is conducted.

Chandandeep S. Grewal, S. T. Enns, Paul Rogers. Dynamic adjustment of replenishment parameters using optimumseeking simulation // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1797-1808.
This paper addresses the use of discrete-event simulation and heuristic optimization to dynamically adjust the parameters within a continuous-review reorder point replenishment strategy. This dynamic adjustment helps to manage inventory and service levels in a simple supply chain environment with seasonal demand. A discrete-event simulation model of a capacitated supply chain is developed and a procedure to dynamically adjust the replenishment parameters based on re-optimization during different parts of the seasonal demand cycle is explained. The simulation logic and optimization procedure are described. Further, analysis of the impact on inventory is performed.

Hadzikadic M., Carmichael T., Curtin C. (2010). Complex Adaptive Systems and Game Theory: An Unlikely Union // Complexity. Vol 16, Issue 1, p.34.

Hamill L. (2010). Agent-Based Modelling: The Next 15 Years // Journal of Artificial Societies and Social Simulation (JASSS), 13 (4): 7.
This short note makes recommendations for the future direction of research in agent-based modelling (ABM). It is a personal view based on my experience as a policy adviser who has recently come to ABM. I suggest that to promote the use of ABM, the ABM community needs demonstrate the value of modelling to other social scientists by showing-by-doing and offering training projects; and to produce tools, guidance on good-practice and basic building blocks. Then the policy contexts most likely to benefit from ABM need to be identified along with any new data requirements, so that the usefulness of ABM can be demonstrated to policy analysts.

Heckbert S., Baynes T., Reeson A. Agent-based modeling in ecological economics // Annals of the New York Academy of Sciences. 2010. No. 1185. P. 39–53.

Holbert N., Penney L., Wilensky U. (2010). Bringing Constructionism to Action Gameplay // In J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.

Holbert N., Wilensky U. (2010). FormulaT Racing: Combining gaming culture and intuitive sense of mechanism for video game design // In K. Gomez & J. Radinsky (Ed.), Proceedings of the 9th International Conference of the Learning Sciences. Chicago, IL.

Izquierdo S.S., Izquierdo L.R., Vega-Redondo F. (2010). The Option to Leave: Conditional Dissociation in the Evolution of Cooperation // Journal of Theoretical Biology Volume 267, Issue 1, pp. 76–84.

Kahn K., Noble H. (2010). The Modelling4All Project -- A web-based modelling tool embedded in Web 2.0 // Paper presented at the Proceedings of Constructionism 2010, Paris, France.

David Kalasky, Michael Coffman, Melanie De Grano, Kevin Field. Simulation-based manpower planning with optimized scheduling in a distributed multi-user environment // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.3447-3459.
The Transportation Security Administration (TSA) staffs and operates over 450 airports in the US. TSA has been using simulation to determine staffing requirements since 2005 and has recently completed a refresh of their manpower planning and scheduling system. The objectives of the effort were to replace the GPSS simulation engine, optimizer and user-interface (UI) to take advantage of current network-based systems technologies. The previous system was distributed to the 200+ users as a stand alone application. This presented maintenance, security and performance issues, especially during the annual budgeting process. This paper focuses on the creation and integration of the simulation engine which was required to replicate and improve on the existing GPSS model accuracy and performance. Additional considerations included providing TSA an easy-to-use simulation platform to maintain the simulation engine, make model and data edits and expand the use of simulation technology within TSA.

Eelco van Asperen, Bram Borgman, Rommert Dekker. Evaluating container stacking rules using simulation // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1924-1933.
Container stacking rules are an important factor in container terminal efficiency. In this paper, we describe a discrete-event simulation model that has been used to evaluate online container stacking rules. We build on prior research and demonstrate that results obtained for smaller stacking areas are also valid for a larger stacking area. The use of information regarding container departure times (even if is imperfect) is shown to be more beneficial than the use of exchange categories. Stacking rules that take the workload of the automated stacking cranes into account outperform rules that do not. The experiments conducted with the simulation model show that it can capture the amount of detail required and that it is flexible enough to support the evaluation of the stacking rules.

Enrico Briano, Claudia Caballini, Pietro Giribone, Roberto Revetria. Using system dynamics for short life cycle supply chains evaluation // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1820-1832.
This work is part of an Italian National Research Project embracing different aspects of a short life-cycle products supply chains: its modeling, its resiliency and its competitiveness. In fact, this particular kind of products, like fashion goods, toys or electronic devices, have different characteristics compared with long-medium life cycle products and this implies a quite different management as well as competitiveness factors to take into account. Starting from the modeling of a supply chain of this kind, utilizing the Powersim Studio Software implementing the System Dynamics methodology, with the goal of showing its behavior under specific scenarios, some vulnerability causes have been considered in order to make the supply chain more resilient. Finally, the competitiveness dynamics between two companies producing short life cycle items has been modeled and analyzed.

Eskandari, H., Darayi, M., Geiger, D. Ch. Using Simulation Optimization as a Decision Support Tool for Supply Chain Coordination with Contracts // In Proceedings of the 2010 Winter Simulation Conference, IEEE, Inc., Baltimore, MD, USA, pp. 1306–1317.

EunSu Lee, Kambiz Farahmand. Simulation of a base stock inventory management system integrated with transportation strategies of a logistic network // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1934-1945.
A logistics network management system controlling the entire supply chain was designed to reduce the total cost and to achieve an efficient system. The interactions between inventory and transportation strategies in the logistics network are presented in this paper. Demand volumes and shipping sizes were simulated as part of a new conceptual model by using a discrete event simulation to minimize the total cost in the supply chain. The experiments indicate that the Full Truckload scenario leads to cost-efficiency and the larger demand size results in smaller cost per unit based on economies of scale. Considering the interaction effects, the demand size has a greater impact on the cost reduction than the shipping size.

Jansons V., Jurenoks V., Didenko K. Investigation of Economic Systems using Modelling Methods with Copula // The 13-th International Conference on Harbor Maritime Multimodal Logistics Modelling & Simulation HMS 2011, October 13–15, 2010, Fez, Morocco, p.1-6.

Juhani Heilala, Matti Maantila, Jari Montonen, Jarkko Sillanpää, Paula Järvinen, Tero Jokinen, Sauli Kivikunnas. Developing simulation-based decision support systems for customer-driven manufacturing operation planning // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.3363-3375.
Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.

Kanna Miwa, Soemon Takakuwa. Optimization and analysis of staffing problems at a retail store // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1911-1923.
In this study, a simulation modeling procedure for a retail store was proposed to find the optimal number of clerks based on operation types, operation frequency, and staffing schedule. First, all required data for staffing problems were collected and work loading was performed during each 24-hour period. Then, integer programming was used to obtain an initial feasible solution. Finally, simulation experiments were performed together using OptQuest, and optimal solutions were obtained. The proposed procedure was applied to the actual case. It was found that the staffing problems can be solved easily and effectively.

Kim J-W. (2010). A Tag-Based Evolutionary Prisoner's Dilemma Game on Networks with Different Topologies // Journal of Artificial Societies and Social Simulation (JASSS), 13 (3): 2. (June 2010).

Kleczkowski A., Maharaj S. (2010). Stay at home, Wash Your Hands: Epidemic Dynamics with Awareness of Infection // In proceedings of the SCS Summer Computer Simulation Conference, Ottawa, July 2010.

Eugene Kopytov, Aivars Muravjovs Supply chain simulation in ExtendSim environment // Proceedings of the 10th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’10), 20–23 October 2010, Riga, Latvia, p. 447-456. ISBN 978-9984-818-34-4.
A stochastic single-product inventory control model for the chain «producer – wholesaler – customer» with two stages in ordering process is considered. The strategy of the first stage executed by customer is based on a model with fixed reorder point and fixed order quantity. The strategy of the second stage is realized by a wholesaler. It is assumed that producer supplies its production to wholesaler according fixed schedule. We have to take into account that the sum of total costs for goods ordering, holding and losses from deficit per time unit should be minimal. The considered models are realized using simulation method with the help of the package ExtendSim 8. The numerical examples of problem solving are presented in the paper.

Kotenko I. Agent-Based Modelling and Simulation of Network Cyber-Attacks and Cooperative Defence Mechanisms // Discrete Event Simulations, Sciyo, In-the, 2010, p. 223-246.

Kotenko I., Konovalov A., Shorov A. Agent-based Modeling and Simulation of Botnets and Botnet Defense // Conference on Cyber Conflict, CCD COE Publications, Tallinn, Estonia, 2010, p. 21-44.

Kotenko I., Konovalov A., Shorov A. Simulation of Botnets: Agent-based approach // Intelligent Distributed Computing IV. Studies in Computational Intelligence. Springer-Verlag, Volume 315. Proceedings of 4th International Symposium on Intelligent Distributed Computing - IDC'2010, September 16-18, 2010, Tangier, Morocco, Springer, p.247–252.

Kotenko I., Konovalov A., Shorov A. Agent-based Modeling and Simulation of Botnets and Botnet Defense // Conference on Cyber Conflict. Proceedings 2010 (ISBN 978-9949-9040-1-3), CCD COE Publications, Tallinn, Estonia, June 15-18, 2010, p.21-44.

Kurahashi C., An G. (2010). Examining the Spatial Dynamics of the Inflammatory Response with Topographical Metrics in an Agent-Based Computational Model of Inflammation and Healing // Journal of Surgical Research (ASC Abstracts Issue), 158(2):382.

Kurahashi C., An G. (2010). Examining the Spatial Dynamics of the Inflammatory Response with Topographical Metrics in an Agent-Based Computational Model of Inflammation and Healing // Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.

Kuznetsov A., Pogodin V., Spassky Y., Gleim V. Simulation as an integrated platform for container terminal development lifecycle in // The 7th International Mediterranian and Latin American Modeling Multiconference (October 13-15, 2010), Morocco, Fes, 2010, p.159-162.

Lerner R., Levy S.T., Wilensky U. (2010). Encouraging Collaborative Constructionism: Principles Behind the Modeling Commons // In J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.

Levy S.T., Wilensky U. (2010). Mining students' actions for understanding of complex systems: Students' explorations of gas models in the Connected Chemistry curriculum // Paper presented at AERA 2010, Denver, CO.
We investigate students’ inquiry actions in computer-based models of complex systems, studying whether and how they adapt to different mathematical regularities in the system; examining how these explorations may relate to prior knowledge and learning.

Lin Li, Karthik Sourirajan, Kaan Katircioglu. Empirical methods for two-echelon inventory management with service level constraints based on simulation-regression // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1846-1859.
We present a simulation-regression based method for obtaining inventory policies for a two-echelon distribution system with service level constraints. Our motivation comes from a wholesale distributor in the consumer products industry with thousands of products that have different cost, demand, and lead time characteristics. We need to obtain good inventory policies quickly so that supply chain managers can run and analyze multiple scenarios effectively in reasonable amount of time. While simulation-based optimization approaches can be used, the time required to solve the inventory problem for a large number of products is prohibitive. On the other hand, available quick approximations are not guaranteed to provide satisfactory solutions. Our approach involves sampling the universe of products with different problem parameters, obtaining their optimal inventory policies via simulation-based optimization and then using regression methods to characterize the inventory policy for similar products. We show that our method obtains near-optimal policies and is quite robust.

Lychkina Natalia, Kavtaradze Dmitri, Volkov Vladimir System Dynamics Simulation Modeling as the tool in Urban and Ecological Network Biodiversity Management -URBIO2010, International Conference on Urban Biodiversity and Design, 18 - 22 May, 2010. Kyoto, Japan.

Mario Marin, Luz Alba Andrade, Yanshen Zhu, Erwin Atencio, Carlos Boya. Supply chain and hybrid modeling: the panama canal operations and its salinity diffusion // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2023-2033.
This paper deals with the simulation modeling of the service supply chain and the salinity and its diffusion in the Panama Canal. An operational supply chain model was created using discrete-event simulation. Once complete, a component based on differential equations was added to the model to investigate the intrusion of salt and the resulting salinity diffusion into the lakes of the canal. This component was implemented in the AnyLogic simulation modeling environment by taking advantage of the concept of hybrid modeling that is embedded in AnyLogic.

Maroulis S., Guimera R., Petry H., Stringer M., Gomez L., Amaral L., Wilensky U. (2010). A complex systems approach to Educational Policy Research // Science 1 October 2010: Vol. 330. no. 6000, pp. 38.

Martinez J. Methodology for conducting discrete-event simulation studies in construction engineering and management [Методика проведения исследований дискретного моделирования в строительстве и управлении] // Journal of Construction Engineering and Management 136 (1) (2010) 3–16.

Mastrangeli Massimo, Schmidt Martin and Lacasa Lucas (2010). The Roundtable: An Abstract Model of Conversation Dynamics // Journal of Artificial Societies and Social Simulation 13 (4) 2.

Monett D., Janisch R., Starroske S. (2010). NL-Analyzer: Enhancing Simulation Tools to Assist Multiagent Systems' Teaching // In K. Gomez & J. Radinsky (Ed.), In W. van der Hoek, G.A. Kaminka, Y. Lespérance, M. Luck, S. Sen (eds.), Proceedings of the Workshop Multi-Agent Systems for Education and Interactive Entertainment (MASEIE), 9th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2010, pp. 1-6, Toronto, Canada.

Muis J. (2010). Simulating Political Stability and Change in the Netherlands (1998-2002): an Agent-Based Model of Party Competition with Media Effects Empirically Tested // Journal of Artificial Societies and Social Simulation (JASSS) 13 (2): 4 (March 2010).

Niazi M., Siddique Q., Hussain A., Kolberg M. (2010). Verification & Validation of an Agent-Based Forest Fire Simulation Model // Agent-Directed Simulation Symposium, SCS Spring Simulation Conference, April 2010, Orlando, FL.

North M.J., Macal C.M., St. Aubin J., Thimmapuram P., Bragen M., Hahn J., Karr J., Brigham N., Lacy M.E., Hampton D.: Multi-scale agent-based consumer market modeling // Complexity, 2010, 15(5):37-47.

Olson I., Horn M., Wilensky U. (2010). NetLogo Tango: Supporting Student Programming with Tangible Objects and Multi-Touch Displays // In K. Gomez & J. Radinsky (Ed.), Proceedings of the 9th International Conference of the Learning Sciences. Chicago, IL.

Olsen J., Jepsen M.R. (2010). HPV transmission and cost-effectiveness of introducing quadrivalent HPV vaccination in Denmark // International Journal of Technology Assessment in Health Care, 26(2).

Pluchino A., Rapisarda A., Garofalo C. (2010). Peter Principle Revisited: a Computational Study // Physica A: Statistical Mechanics and its Applications, 389(3), pp.467-472.

Rezayan H., Delavar M.R., Frank A.U., Mansouri A. (2010). Spatial rules that generate urban patterns: Emergence of the power law in the distribution of axial line length // International Journal of Applied Earth Observation and Geoinformation. Volume 12, Issue 5, October 2010, pp.317-330.

Manuel D. Rossetti, Yisha Xiang. Simulating backlog and load building processes in a two-echelon inventory system // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1833-1845.
In this paper, we discuss the design and use of an object-oriented framework for simulating a two-echelon inventory system. We present how the framework can be used to simulate the backorder and load building queues at the warehouse level of the system. In addition, we describe the modeling options for the backorder processing for replenishment orders sent to the warehouse. Filled orders must then be consolidated into loads for shipping to the retailer level. The framework is built on a Java Simulation Library (JSL) and permits easy modeling and execution of simulation models. A set of experiments is performed to illustrate how queueing disciplines for the backorder and load building queues effect the lead-time experienced at the retailer level. In addition, we summarize future research efforts to model complex supply chains.

Marcelo Moretti Fioroni, Sydney Santos Cordeiro, Luiz Augusto G. Franzese, Luiz Francisco da Silva, Caio Eduardo Zanin, Vitor Luciano de Almeida Benevides, Jose Alexandre Sereno Quintans, Lucia Dini Pereira, Isac Reis de Santana, Paulo Savastano. Matching production planning and ship arrival scheduling by simulation // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1990-1997.
There are several challenges involving the representation of an ore loading port system using a simulation package. This kind of port handles bulk material, much more adequately represented by continuous flow than discrete flow, as in opposite to the case of a container-handling port. This paper addresses specifically the impact of meeting product mix requirements in the delivery and the ship arrival schedules. A methodto model this feature is presented. Also, the modeling approach of these aspects is presented, and the experimentation in the case of Porto do Aзu, located at Rio de Janeiro, is performed to check the method’s efficiency.

Mario Marin, Yanshen Zhu, Luz Alba Andrade, Erwin Atencio, Carlos Boya, Carlos Mendizabal Supply chain and hybrid modeling: the panama canal operations and its salinity diffusion // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2023-2033.
This paper deals with the simulation modeling of the service supply chain and the salinity and its diffusion in the Panama Canal. An operational supply chain model was created using discrete-event simulation. Once complete, a component based on differential equations was added to the model to investigate the intrusion of salt and the resulting salinity diffusion into the lakes of the canal. This component was implemented in the AnyLogic simulation modeling environment by taking advantage of the concept of hybrid modeling that is embedded in AnyLogic.

Miao He, Jacqueline Morris, Tao Qin. Quantifying the value of RFID in air cargo handling process: a simulation approach // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1882-1889.
Air cargo customers demand deliveries in a timely manner because the cargo is usually high-value and/or perishable. Any delay at the airport may result in unmet customer demand, incur high inventory-in-transit cost and damage the quality of perishable commodities. Faced with these problems, an Asia-based airline has resorted to Radio Frequency Identification (RFID) to improve the efficiency of its air cargo handling process. Before implementation, we employ the simulation approach to quantify the benefits of RFID deployment. Our study shows that the RFID system can significantly reduce the total costs with the same timing, indicating that RFID technology is appropriate for the time-sensitive industrial and commercial practices.

Min Zeng, Malcolm Yoke Hean Low, Wen Jing Hsu, Shell Ying Huang, Fan Liu, Cho Aye Win. Automated stowage planning for large containerships with improved safety and stability // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1976-1989.
Stowage planning for container ships is a core activity of shipping lines. As the size of containership increases, generating a stowage plan with good safety and stability for a large containership becomes increasingly difficult. In this paper, we present an automated stowage planning system for large containerships which consists of three modules: the stowage plan generator, the safety and stability adjustment module, and the optimization engine. This paper focuses on the safety and stability adjustment module which resolves the stability issues of a stowage plan by adjusting the distribution of container weights by stowing containers in alternative feasible locations and fine-tuning stability parameters through adjusting the ballast in tanks onboard. Using shipping data for a large 7000 TEUs containership on a multi-port voyage, we demonstrate that our system can generate stowage plans with improved safety and stability compared to those generated by experienced planners.

Okolnishnikov V., Rudometov S., Zhuravlev S. Monitoring system development using simulation // Proc. of the of 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering "SIBIRCON 2010". Russia, Irkutsk, July 11—15, 2010, volume II, pp. 736—739.

Okolnishnikov V., Rudometov S., Zhuravlev S. Simulation environment for industrial and transportation systems // Proc. of the International Conference on Modelling and Simulation in Prague, 25 June 2010, Czech Republic, pp. 337–340.

C. Dennis Pegden Advanced tutorial: overview of simulation world VIEWS // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.210-215.

C. Dennis Pegden, David T. Sturrock Introduction to SIMIO // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.
This paper describes the modeling system – Simio, that is designed to simplify model building by promoting a modeling paradigm shift from the process orientation to an object orientation. Simio is a simulation modeling framework based on intelligent objects. The intelligent objects are built by modelers and then may be reused in multiple modeling projects. Although the Simio framework is focused on object-based modeling, it also supports a seamless use of multiple modeling paradigms including event, process, object, and agent-based modeling.

Peter Lendermann, Arnd Schirrmann, Boon Ping Gan, Helge Fromm, Nirupam Julka. Unlocking value from component exchange contracts in aviation using simulation-based optimization // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2034-2045.
Motivated by the entry into service of new aircraft such as the Airbus A380 as well as the pressure to operate existing fleets at lower cost, not only in civil but also in military aviation, a new industry paradigm has emerged where MRO (Maintenance, Repair and Overhaul) service providers or OEMs (Original Equipment Manufacturers) supply spare parts to airline operators on a maintenance-by-the-hour basis. As a consequence, the associated logistics networks have reached unprecedented complexity: Component exchange commitments are now made to multiple operators, not only at their main bases but also at outstations. In this setting, the limitations of conventional Initial Provisioning methods can be overcome with high-fidelity simulation-based optimisation techniques. In particular, this paper discusses how value can be unlocked from new logistics policies for spare parts management in aviation.

Ricky Andriansyah, Pascal Etman, Jacobus Rooda. Aggregate modeling for flow time prediction of an end-of-aisle order picking workstation with overtaking // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2070-2081.
An aggregate modeling methodology is proposed to predict flow time distributions of an end-of-aisle order picking workstation in parts-to-picker automated warehouses with overtaking. The proposed aggregate model uses as input an aggregated process time referred to as the effective process time in combination with overtaking distributions and decision probabilities, which we measure directly from product arrival and departure data. Experimental results show that the predicted flow time distributions are accurate, with prediction errors of the flow time mean and squared coefficient of variation less than 4% and 9%, respectively. As a case study, we use data collected from a real, operating warehouse and show that the predicted flow time distributions resemble the flow time distributions measured from the data.

Rudometov S.V. Workflow for Rapid Simulation of Complex Distribution Centers // International Conference on Modelling and Simulation, Prague, Czech Republic, 2010, p.374–377.

Russell E., Buzby C., Wilensky U. (2010). Watershed Modeling For Education // Paper presented at the First International Conference for Geospatial Research & Application, Washington, DC.

Tom Sandeman, Chris Fricke, Peter Bodon, Chris Stanford. Integrating optimization and simulation - a comparison of two case studies in mine planning // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1898-1910.
This paper describes the benefits of integrating optimization formulations within simulation models. Two different case studies in mining are presented, both requiring a blending optimization. The primary problem at hand is to model a complex supply chain involving blending of multiple inputs to produce a number of potential products for customers. The first approach involves solving an optimization model to produce a long term plan, then simulating this plan over time without the ability to change the plan as time progresses. The second approach involves a more integrated system where multiple instances of an optimization model are run throughout the simulation using updated inputs. A description of the problem is supplied, providing the need for both optimization and simulation, and then the two case studies are compared to show the benefits of integrating the optimization within the simulation model.

Mihails Savrasovs The application of a discrete rate approach to traffic flow simulation // Proceedings of the 10th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’10), 20–23 October 2010, Riga, Latvia, p. 433-439. ISBN 978-9984-818-34-4.
The main goal of this paper is to present examples of the application of the discrete rate approach of ExtendSim simulation software for traffic flow simulation. A literature survey has shown that the discrete rate approach is mainly used in logistics, but not in the area of transport area. So the tasks of this paper are to present the main techniques of model implementation using a discrete rate approach and to apply this approach to traffic flow simulation.

Seal J.B., Alverdy J.C., An G. (2010). Mechanistic Computational Representation of Iron Metabolism in the Gut Milieu // Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 3, 2010.

Seal J.B., Alverdy J.C., Zaborina O., Zaborin A., Babrowski T., Romanowski K., An G. (2010). Computational mechanistic representation of phosphate sensing and virulence activation in Pseudomonas aeruginosa in the gut milieu // Poster Presentation for the 39th Annual Critical Care Congress of the Society of Critical Care Medicine, Miami, FL, January 11, 2010.

Sengupta P., Wilensky U. (2010). Balancing Electrons & Learning Electricity in 5th Grade: Emergence, Electric Current and Multi- Agent Based Models // Cognition and Instruction.

Sheth K.R., An G. (2010). In Silico Translation of Cellular and Molecular Mechanisms to Clinical Phenomena in Atheroma Development with an Agent Based Model // Journal of Surgical Research (ASC Abstracts Issue), 158(2):382-3.

Shanton Karen, Goldman Alvin. Simulation theory // 2010.
This article reviews evidence for a simulational account of mind reading. Drawing on findings in developmental psychology and cognitive neuroscience, it shows that mind reading involves the imitation, copying, or reexperience of the mind reading target’s mental processes. The article also introduces evidence for simulational accounts of episodic memory and prospection.

Sheth K.R., An G. (2010). In Silico Translation of Cellular and Molecular Mechanisms to Clinical Phenomena in Atheroma Development with an Agent Based Model // Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.

Skribans Valerijs. Investments model development with the system dynamic method (Создание модели инвестиций методом системной динамики) // ISSN 1648-9098. Ekonomika ir vadyba: aktualijos ir perspektyvos. 2010. 2 (18). P.104–114.
In the paper the model of macroeconomic turnover and its possibilities for investments modelling are shown. The model consists of four blocks: in the first the theoretical model is described. In the second the model is reflected in accordance with the requirements of system dynamics method, there are shown included influences, intercommunications and equalizations. The third block examines demand and supply model for capital and investments. The fourth part complements previous parts, describes additional indexes.

Snijders T. A. B., Van de Bunt G. G., Steglich C. E. G. Introduction to stochastic actor-based models for network dynamics // Social networks. 2010. Т. 32. №. 1. С. 44-60.

Sokolov B.V., Ivanov D., Fridman A. Situational Modelling for Structural Dynamics Control of Industry-Business Processes and Supply Chains // Intelligent Systems: From Theory to Practice / Vassil Sgurev, Mincho Hadjiski, Janusz Kacprzyk (Eds.). — London: Springer, 2010.

Sokolov B.V., Pyattaev A., Andreev S., Vinel A. Client relay simulation model for centralized wireless networks // Proceedings of the 7th EUROSIM Congress on Modelling and Simulation, September 6–10, 2010, Prague, Czech Republic [CD]. Prague: Czech Technical University, 2010.

Sokolov B.V., Tsivirko E., Vinel A. Overview of broadband wireless access technologies and stochastic models for their performance evaluation // In the Proc. 9th International Conference “Computer Data Analysis and Modeling”, September, 7-11, Minsk, Belarus, 2010.

Steinhauer D GeneSim - Development of a generic data model for production simulation in shipbuilding // 9th Int. Conf. on Computer Applications and Information Technology in the Maritime Industries (COMPIT), Gubbio. 2010.

Steinhauer D. Simulation of outfitting processes // European Conf. on Production Technology in Shipbuilding ECPTS, Rostock, 2010. pp.12-19.

Stepantsov M.E. On calibrating the dynamic model of a transport network // Труды Третьей международной конференции «Математическое моделирование социальной и экономической динамики» (MMSED-2010). 23–25 июня 2010 года. — М.: ЛЕНАНД, 2010. — С. 247–251.

Stonedahl F., Rand W., Wilensky U. (2010). Evolving Viral Marketing Strategies // Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation. Portland, OR.

Stonedahl F., Rand W., Wilensky U. (2010). Evolving Viral Marketing Strategies // Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation. Portland, OR.

Stonedahl F., Wilensky U. (2010). Evolutionary Robustness Checking in the Artificial Anasazi Model // Proceedings of the AAAI Fall Symposium on Complex Adaptive Systems: Resilience, Robustness, and Evolvability. November 11-13, 2010. Arlington, VA.

Stonedahl F., Wilensky U. (2010). Finding Forms of Flocking: Evolutionary Search in ABM Parameter-Spaces // Proceedings of the MABS workshop at the Ninth International Conference on Autonomous Agents and Multi-Agent Systems. Toronto, Canada.

David T. Sturrock, C. Dennis Pegden Recent innovations in Simio // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.21-31.
This paper briefly describes Simio simulation software, a simulation modeling framework based on intelligent objects. It then describes a few of the many recent enhancements and innovations including SMORE charts that allow unprecedented insight into your simulation output and sophisticated built-in experimentation that incorporates multi-processor support and optimization.

Suhadolnik N., Galimberti J., Da Silva S. (2010). Robot traders can prevent extreme events in complex stock markets // Physica A: Statistical Mechanics and its Applications, 389(22): 5182-5192.

Thiele J.C., Grimm V. (2010). NetLogo meets R: Linking agent-based models with a toolbox for their analysis // Environmental Modeling and Software. 25(8), pp.972-974.

Valbuena D., Verburg P.H., Veldkamp A., Bregt A.K., Ligtenberg A. (2010). Effects of farmers' decisions on the landscape structure of a Dutch rural region: An agent-based approach // Landscape and Urban Planning. 97(2), pp.98-110.

Vanina G. Cafaro, Diego C. Cafaro, Carlos A. Mendez, Jaime Cerda. Oil-derivatives pipeline logistics using discrete-event simulation // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2101-2113.
The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to perform this activity in a reliable and costeffective manner. This work presents a novel discrete event simulation system developed on Arena® for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connect a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe-end that perform their tasks in a synchronized manner. Based on priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, which is evaluated by using several criteria. Combined with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.

Vasileva, S. Modeling of Primary Copy Two-Version Two Phase Locking. // Proceedings of the IV International Conference on Information Systems and GRID Technologies, 28-29 May 2010, Sofia, Bulgaria, organized by University of Sofia «St. Kliment Ohridski» and BulAIS - Bulgarian Chapter of AIS, St. Kliment Ohridski University Press, Sofia, Bulgaria, pp. 79-91. Available at: link

Vasileva, S. An algorithm for deadlock avoiding in distributed database management systems. // Journal of the Technical University Sofia, branch Plovdiv. «Fundamental Sciences and Applications», Vol. 16(1), International Conference Engineering, Technologies and Systems TechSys 2011, pp.377-382, (In Bulgaria) Available at: link.

Vasileva, S. Analysis of performance in distributed databases managed by two-version two-phase locking algorithms. // Proceedings of the International Conference Automatics and Informatics’10, 3 – 7 October 2010, Sofia, Bulgaria, pp. I-257 – I-260.

Pavel Vik, Luis Dias, Guilherme Pereira, José Oliveira, Ricardo Abreu Using Simio for the specification of an integrated automated weighing solution in a cement plant // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1534-1546.
This paper focuses on the use of a discrete simulation tool (SIMIO) in the logistic system design of a cement plant. This research project specifies a proposal of using Discrete Event Simulation (DES) and innovative logistic methods for the correct specification of an integrated weighing solution in a cement plant. This specification will then help the design phase of the whole plant and will contribute for the rationalization of the use of cement plant resources. The proposed monitoring weighing system (Cachapuz - SLV Cement) together with the simulation model will evaluate different scenarios as far as the logistic system is concerned and will support important decisions in the design phase of a cement plant, contributing to the best use of the best set of resources.

Wagh A., Wilensky U. (2010). Agent-based and aggregate level reasoning elicited by problem scenarios and an agent-based model // Poster presented at the annual meeting of the American Education Research Association, Denver, CO, April 30-May 4.

Wandling M., An G. (2010). Multi-Scale Dynamic Knowledge Representation of Pulmonary Inflammation with an Agent-Based Model: from Gene Regulation to Clinical Phenomenon // Journal of Surgical Research (ASC Abstracts Issue), 158(2):381.

Wandling M., An G. (2010). Multi-Scale Dynamic Knowledge Representation of Pulmonary Inflammation with an Agent-Based Model: from Gene Regulation to Clinical Phenomenon // Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.

Wilensky U., Novak M. (2010). Understanding evolution as an emergent process: learning with agent-based models of evolutionary dynamics // In R.S. Taylor & M. Ferrari (Eds.), Epistemology and Science Education: Understanding the Evolution vs. Intelligent Design Controversy. New York: Routledge.

Wilensky U., Papert S. (2010). Restructurations: Reformulations of Knowledge Disciplines through new representational forms // In J. Clayson & I. Kallas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France.

Wilkerson-Jerde M., Wilensky U. (2010). NetLogo HotLink Replay: A Tool for Exploring, Analyzing and Interpreting Mathematical Change in Complex Systems // Poster to be presented at ICLS 2010, Chicago, IL, Jun 29 - Jul 2.

Wilkerson-Jerde M., Wilensky U. (2010). Qualitative Calculus of Systems: Exploring Students' Understanding of Rate of Change and Accumulation in Multiagent Systems // Paper accepted for presentation at AERA 2010, Denver, CO.

Wilkerson-Jerde M., Wilensky U. (2010). Restructuring Change, Interpreting Changes:The DeltaTick Modeling and Analysis Toolkit // Paper to be presented at Constructionism 2010, Paris.

Wilkerson-Jerde M., Wilensky U. (2010). Seeing Change in the World from Different Levels: Understanding the Mathematics of Complex Systems // In M. Jacobson (Org.), U. Wilensky (Chair), and Peter Reimann (Discussant), Learning about Complexity and Beyond: Theoretical and Methodological Implications for the Learning Sciences. To be presented at ICLS 2010, Chicago, IL, Jun 29 - Jul 2.

Yan Liu, Soemon Takakuwa. Enhancing simulation as a decision-making support tool for a crossdocking center in a dynamic retail-distribution environment // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.2089-2100.
To ensure just-in-time shipments from a general non-automated retail-cross-docking center, different items must be handled efficiently by different processes despite the many inbound shipments and frequent demand orders from retail stores. In this paper, a systematic and flexible procedure is proposed that efficiently provides critical decision-making support to logistics managers to help them understand and validate the material handling operation at a real retail-cross-docking center. The proposed procedure considers dynamic logistics operation information, such as inbound schedules of suppliers, demand data from retail-chain stores, and individual operator schedules. This detailed data is required for the performance of simulation. In addition, the procedure is applied to an actual non-automated retail-cross-docking center to confirm its effectiveness. Furthermore, the proposed method was found to be both practical and powerful in assisting logistics managers with their continuous decision-making efforts.

Yang C.K., Wilensky U. (2010). Reinterpreting school effects from the bottom up: Merging statistical analysis and a complex systems perspective // Poster presented at the Constructionism conference. Paris, France. August 16-20, 2010.

Yuerong Chen, Shengyong Wang. Investigating the impacts of dynamic pricing and price-sensitive demand on an inventory system in the presence of supply disruptions // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.1809-1819.
Supply disruptions have attracted a lot of attention due to the huge detriments they might cause. Supply disruptions have various forms, including machine breakdowns and natural disasters. As an effective marketing tool, dynamic pricing has been helping sellers enhance their profits. In addition, price-dependent demand is common in practice. This paper studies a single-product inventory system that consists of a supplier, a retailer, and customers. The supplier is subject to disruptions. The retailer adopts a periodic review inventory policy, under which an appropriate inventory replenishment order is sent to the supplier every a fixed period of time. Price is adjusted according to inventory level at each inventory review point. Customer demand variation based on price is also considered. In this paper, we simulate the concerned inventory system and investigate the impacts of supply disruptions, dynamic pricing, and price-sensitive demand on the retailer’s annual profit.

Zhekov, B., S. Vasileva. Opportunities and peculiarities of GPSS World in simulation of concurrency control algorithms for DDBMS. // Proceedings of the International Scientific Conference Informatics in scientific Knowledge – 2010, Varna Free University «Chernorizets Hrabar» and the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences, June 24-26, 2010, Varna, Bulgaria, pp. 306-318.

Zohar Feldman, Avishai Mandelbaum. Using simulation-based stochastic approximation to optimize staffing of systems with skills-based-routing // Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. P.3307-3317.
In this paper, we consider the problem of minimizing the operational costs of systems with Skills-Based-Routing (SBR). In such systems, customers of multiple classes are routed to servers of multiple skills. In the settings we consider, each server skill is associated with a corresponding cost, and service level can either appear as a strong constraint or incur a cost. The solution we propose is based on the Stochastic Approximation (SA) approach. Since SBR models are analytically intractable in general, we use computer simulation to evaluate service-level measures. Under the assumption of convexity of the service-level as functions in staffing levels, SA provides an analytical proof of convergence, together with a rate of convergence. We show, via numerical examples, that although the convexity assumption does not hold for all cases and all types of service-level objectives, the algorithm nevertheless identifies the optimal solution.



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