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.
- Manufacturing Engineering Division
Real-Time Resilient Control for Stochastic Production System Energy Efficiency
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Arinez, J, Zou, J, Chang, Q, & Lei, Y. "Real-Time Resilient Control for Stochastic Production System Energy Efficiency." Proceedings of the 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. V004T05A031. ASME. https://doi.org/10.1115/MSEC2017-2941
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