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Virtual Factory Framework for Supporting Production Planning and Control

Published

Author(s)

Deogratias Kibira, Guodong Shao

Abstract

Developing optimal production plans for smart manufacturing systems is challenging if 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.
Proceedings Title
Proceedings of APMS 2016
Conference Dates
September 3-7, 2016
Conference Location
Iguassu Falls, BR
Conference Title
APMS 2016 International Conference, Advances in Production Management Systems - Production
Management Initiatives for Sustainable World

Keywords

Virtual factory, Simulation, Production planning and control

Citation

Kibira, D. and Shao, G. (2016), Virtual Factory Framework for Supporting Production Planning and Control, Proceedings of APMS 2016, Iguassu Falls, BR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921140 (Accessed February 20, 2024)
Created September 2, 2016, Updated April 4, 2022