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Transportation applications of simulation: the application of distributed simulation in TOMAS: redesigning a complex transportation model
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Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Applications in logistics, transportation, and distribution table of contents
Pages: 1207 - 1213  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Mark B. Duinkerken  Delft University of Technology, The Netherlands
Jaap A. Ottjes  Delft University of Technology, The Netherlands
Gabriel Lodewijks  Delft University of Technology, The Netherlands
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
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Downloads (6 Weeks): 1,   Downloads (12 Months): 10,   Citation Count: 1
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ABSTRACT

This paper describes the application of distributed discrete event simulation in the study of an automated container terminal. The new model was developed to continue the study of large and complex logistic systems. In a previous study, a stand-alone model of the terminal was used that included all the characteristics of container handling between the ships and the container stack. A new distributed simulation model was developed by decomposing the original model into a distributed structure of communicating, small sub models. It is shown that with relative little effort and hardly any programming overhead, a complex stand-alone model can be decomposed into small, easy to understand sub models. The new distributed structure improves the transparency and maintainability of the simulation model, while guaranteeing the original benefits of the stand-alone model and the required reproducibility of the experiments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Duinkerken, M. B.; J.J.M. Evers; J. A. Ottjes. 1999. TRACES : Traffic Control Engineering System. Proceedings 31st Summer Computer Simulation Conference. Chicago {SCS} pp 461--465.
 
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Duinkerken, M. B.; J. A. Ottjes. 2000. A simulation model for automated container terminals. Proceedings of the Business and Industry Simulation Symposium. Washington D. C. {SCS} pp 134--139.
 
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Duinkerken, M. B.; J.J.M. Evers; J. A. Ottjes. 2001. A simulation model integrating quay transport and stacking policies on automated container terminals. Proceedings of the 15th European Simulation Multiconference. Prague {SCS} pp 909--916.
 
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Fujii, S.; A. Ogita, Y. Kidani, T. Kaihara. 1999. Synchronization Mechanisms for Integration of Distributed Manufacturing Simulation Systems. Simulation 72:3, pp. 187--197.
 
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Ottjes, J. A.; H.P.M. Veeke; A. A. Buizer. 2001. Experimenting with distributed modeling and simulation using the internet. Proceedings of the 15th European Simulation Multiconference. Prague {SCS} pp 571--577.
 
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Veeke, H.P.M.; J. A. Ottjes. 2000. TOMAS: Tool for Object-Oriented Modelling and Simulation. Proceedings of the Business and Industry Simulation Symposium. Washington D. C. {SCS} pp 76--81.
 
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Veeke, H.P.M.; J. A. Ottjes. 2001. Applied distributed discrete process simulation. Proceedings of the 15th European Simulation Multiconference. Prague {SCS} pp 641--648.
 
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Collaborative Colleagues:
Mark B. Duinkerken: colleagues
Jaap A. Ottjes: colleagues
Gabriel Lodewijks: colleagues