Modeling and simulation of container terminal logistics systems using Harvard architecture and agent-based computing Bin Li (Department of Economics and Management); Wen-feng Li (School of Logistics Engineering). Proceedings of the 2010 Winter Simulation Conference.

As the highly complex logistics system, container terminal logistics systems 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 AnyLogic 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.
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An integrated pedestrian behavior model based on extended decision field theory and social force model Hui Xi, Young-Jun Son (The University of Arizona); Seungho Lee (Samsung Electronics Co. Ltd.). Proceedings of the 2010 Winter Simulation Conference.

The integrated pedestrian simulation model proposed in this paper allows us to develop a more realistic simulation of pedestrian behaviors at a shopping mall. In particular, consideration of vision of each individual allows us to mimic physical and psychological interactions among the people and the environment more realistically. Similarly, consideration of extended Decision Field Theory allowed us to represent human decision deliberation process. In addition, consideration of a rich set of attributes for the environment as well as people has allowed us to mimic a real shopping mall environment closely. The constructed simulation using AnyLogic software was utilized to conduct several experiments on performance of the mall and scalability of the proposed model.
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Supply chain and hybrid modeling: the Panama Canal operations and it’s salinity diffusion Mario Marin, Yanshen Zhu (American Technologika); Luz Alba Andrade, Erwin Atencio, Carlos Boya (Universidad La Latina); Carlos Mendizabal (Universidad Tecnologica de Panama). Proceedings of the 2010 Winter Simulation Conference.

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.
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Wealth Distribution Evolution in an Agent-based Computational Economics Victor Romanov, Dmitry Yakovlev and Anna Lelchuk

The paperwork presented by Victor Romanov, Dmitry Yakovlev and Anna Lelchuk describes modification of wealth distribution among the customers. A simulation model created by them helps to analyze the following interrelated spheres, such as labour market, stock market, enterprise investment strategy, tax level.
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A simulation modeling approach for improving oral health outcomes of older adults Michael J. Widener, University at Buffalo

This interdisciplinary research focuses on improving the oral health of older adults as a means of enhancing their overall wellbeing and quality of life. Periodontal disease is a risk factor for other chronic illnesses, notably diabetes and cardiovascular disease. In order to identify policies that improve oral health for older adults, a dynamic modeling approach that considers community and individual level factors is utilized.
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VirSim - a Model to Support Pandemic Policy Making Tobias Fasth, Marcus Ihlar, Lisa Brouwers. PLoS Currents: Influenza. September 2010.

A simulation model called VirSim was developed to aid policy making in Sweden. The model simulates the spread of pandemic influenza, using real population data on a national and regional level. Swedish authorities wanted a model that was both quick to run and to implement as a complement to the existing model MicroSim.
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Business is a field for experiments. But it’s best to run them on simulation models Timofey Popkov.

Modeling allows you to decrease implementation costs and risks while still in the planning stage. It can also be the best way to optimize existing processes.
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The universal simulation tool is based on designs by Russian scientists Timofey Popkov.

Timofey Popkov, Business Development Director of XJ Technologiesdiscusses the specifics of simulation tools development and promotion in Russia and in international markets, as well as prospective trends in applying simulation techniques.
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Using simulation tools for strategic decision making Mark Paich. PricewaterhouseCoopers Technology Forecast 2010, Issue 1.

Dr. Mark Paich provides examples of Decisio’s success in using AnyLogic and other simulation tools to help executives at large enterprises make major transformation decisions.
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Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers. 2009 INFORMS at University of Warwick, June 25-27, Coventry, U.K.

In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling human reactive behaviour in the retail sector. In order to study the output accuracy in both models, we have carried out a validation experiment in which we compared the results from our simulation models to the performance of a real system. Our experiment was carried out using a large UK department store as a case study.
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