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Real-Time Resilient Control for Stochastic Production System Energy Efficiency

[+] Author Affiliations
Jorge Arinez

General Motors R&D, Warren, MI

Jing Zou, Qing Chang

Stony Brook University, Stony Brook, NY

Yong Lei

Zhejiang University, Hangzhou, China

Paper No. MSEC2017-2941, pp. V004T05A031; 7 pages
  • ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
  • Volume 4: Bio and Sustainable Manufacturing
  • Los Angeles, California, USA, June 4–8, 2017
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5075-6
  • Copyright © 2017 by ASME and General Motors


For multi-stage manufacturing system, considerable amount of energy may be wasted and energy efficiency may be hindered due to idleness or constraints from the interactions between the machines and buffers. In this paper, a real-time system performance diagnostic method is developed to identify energy waste due to machine and buffer interactions, and system resilience against random disruption events. Furthermore, by utilizing the real-time system diagnostic information, a novel real-time resilient feedback control policy is proposed to improve system energy efficiency and deliver resilient performance against random disruption events. A case study is presented to demonstrate the effectiveness of the proposed control policy.

Copyright © 2017 by ASME and General Motors



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