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.
CITATION STYLE
Kibira, D., & Shao, G. (2016). Virtual factory framework for supporting production planning and control. In IFIP Advances in Information and Communication Technology (Vol. 488, pp. 291–298). Springer New York LLC. https://doi.org/10.1007/978-3-319-51133-7_35
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