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ProModel/MedModel: simulation modeling and optimization using ProModel technology
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Source Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents
Arlington, Virginia
TUTORIAL SESSION: Software/modelware tutorials table of contents
Pages: 226 - 232  
Year of Publication: 2001
ISBN:0-7803-7309-X
Authors
Charles R. Harrell  Brigham Young University, Provo, UT
Kevin C. Field  PROMODEL Corporation, Orem, UT
Sponsors
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 13,   Citation Count: 1
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ABSTRACT

The ProModel Optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufacturing systems, and supply chain systems. ProModel is a Windows based application with an intuitive graphical interface and object-oriented modeling constructs that eliminate the need for programming. It combines the flexibility of a general-purpose simulation language with the convenience of a data-driven simulator. The ProModel Optimization Suite includes an optimization tool called SimRunner that performs sophisticated "what-if" analysis by running automatic factorial design of experiments on the model, providing the best answer possible. This paper provides an overview of the ProModel Optimization Suite and presents its modeling, analysis, and optimization capabilities.



Collaborative Colleagues:
Charles R. Harrell: colleagues
Kevin C. Field: colleagues