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ABSTRACT
MANUPLAN is a tool for designing and analyzing manufacturing systems. In the early stages of manufacturing systems planning, it offers an efficient alternative to simulation modelling. MANUPLAN is based on a state-of-the-art analytical model. It is practical and easy to use, being simpler and quicker than simulations model. In a typical case, a system design that would have taken several weeks to evaluate using simulation was evaluated in under two days with MANUPLAN. Inputs to MANUPLAN are the basic system design data: information on part routing, equipment capacities and reliabilities, and production requirements. Outputs from MANUPLAN include part flow times, work-in-process levels, equipment utilizations, and production rates achieved. Each run by MANUPLAN takes only a few seconds. By changing the system design data, manufacturing designers can quickly understand the trade-offs between inventory levels, production requirements, flow times, and equipment reliabilities, for their system.
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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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CITED BY 10
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Rajan Suri , Gregory W. Diehl , Yu-Chi Ho, Optimization of manufacturing system simulations using perturbation analysis and SENSE, Proceedings of the 17th conference on Winter simulation, p.178-184, December 11-13, 1985, San Francisco, California, United States
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Navdeep S. Grewal , Alvin C. Bruska , Timbur M. Wulf , Jennifer K. Robinson, Integrating targeted cycle-time reduction into the capital planning process, Proceedings of the 30th conference on Winter simulation, p.1005-1010, December 13-16, 1998, Washington, D.C., United States
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S. Wali Haider , David G. Noller , Thomas B. Robey, Experiences with analytic and simulation modeling for a factory of the future project at IBM, Proceedings of the 18th conference on Winter simulation, p.641-648, December 08-10, 1986, Washington, D.C., United States
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Anindya Biswas , Navdeep S. Grewal , Bill Jamaldin , Suraj M. Alexander, Productivity enhancement through simulation and queuing network analysis, Proceedings of the 26th conference on Winter simulation, p.1447-1450, December 11-14, 1994, Orlando, Florida, United States
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