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.

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