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A genetic algorithm-based approach for flexible job shop rescheduling problem with machine failure interference

Liang Zhongyuan, Zhong Peisi, Zhang Chao, Yang Wenlei, Xiong Wei, Yang Shihao, Meng Jing

Eksploatacja i Niezawodność

2023

Vol. 25, no. 4

art. no. 171784

Rescheduling is the guarantee to maintain the reliable operation of production system process. In production system, the original scheduling scheme cannot be carried out when machine breaks down. It is necessary to transfer the production tasks in the failure cycle and replan the production path to ensure that the production tasks are completed on time and maintain the stability of production system. To address this issue, in this paper, we studied the event-driven rescheduling policy in dynamic environment, and established the usage rules of right-shift rescheduling and complete rescheduling based on the type of interference events. And then, we proposed the rescheduling decision method based on genetic algorithm for solving flexible job shop scheduling problem with machine fault interference. In addition, we extended the "mk" series of instances by introducing the machine fault interference information. The solution data show that the complete rescheduling method can respond effectively to the rescheduling of flexible job shop scheduling problem with machine failure interference.