Virtual Factory Framework for Supporting Production Planning and Control

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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Communication dans un congrès
IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.291-298, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_35〉
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https://hal.inria.fr/hal-01615711
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Soumis le : jeudi 12 octobre 2017 - 16:39:23
Dernière modification le : vendredi 1 décembre 2017 - 01:17:14

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Deogratias Kibira, Guodong Shao. Virtual Factory Framework for Supporting Production Planning and Control. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.291-298, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_35〉. 〈hal-01615711〉

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