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Virtual Factory Framework for Supporting Production Planning and Control
Deogratias Kibira1, Guodong Shao2
1Department of Industrial and System Engineering, Morgan State University, Baltimore, MD, U.S.A.
Abstract:
Developing optimal production plans for smart manufacturing systems is challenging because shop floor events change dynamically. A virtual factory incorporating engineering tools, simulation, and optimization generates and communicates performance data to guide wise decision making for different control levels. This paper describes such a platform specifically for production planning. We also discuss verification and validation of the constituent models. A case study of a machine shop is used to demonstrate data generation for production planning in a virtual factory.
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