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Manufacturing supply chain applications 2: parameterization of fast and accurate simulations for complex supply networks
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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: 1327 - 1336  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Brett Marc Duarte  Arizona State University, Tempe, AZ
John W. Fowler  Arizona State University, Tempe, AZ
Kraig Knutson  Arizona State University, Tempe, AZ
Esma Gel  Arizona State University, Tempe, AZ
Dan Shunk  Arizona State University, Tempe, AZ
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): 4,   Downloads (12 Months): 32,   Citation Count: 2
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ABSTRACT

More efficient and effective control of supply networks is conservatively worth billions of dollars to the world economy. Adopting an approach by which the basic disciplines of Industrial Engineering, Control Engineering, System Simulation and Business Re-Engineering are integrated into one comprehensive system has been known to produce impressive results. This paper discusses a modular approach to develop a discrete event simulation model that has the appropriate level of abstraction to capture the inherent complexities that exist in a supply chain and is yet simple, fast and produces results of high fidelity. It discusses a method to parameterize each module by fine-tuning a few parameters to make it represent an entire factory, a warehouse or a transportation link.


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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Collaborative Colleagues:
Brett Marc Duarte: colleagues
John W. Fowler: colleagues
Kraig Knutson: colleagues
Esma Gel: colleagues
Dan Shunk: colleagues