Robust scheduling for flexible machining job shop subject to machine breakdowns and new job arrivals considering system reusability and task recurrence

作者：

Highlights：

• Robust optimization method with dynamic events is proposed.

• Reusability of the system and repeatability of the processing tasks are considered.

• A dynamic event response strategy (DERS) is proposed.

• A particle swarm arithmetic optimization (PSAO) is used to solve the problem.

• The results show that the method can effectively improve the robustness performance.

摘要

•Robust optimization method with dynamic events is proposed.•Reusability of the system and repeatability of the processing tasks are considered.•A dynamic event response strategy (DERS) is proposed.•A particle swarm arithmetic optimization (PSAO) is used to solve the problem.•The results show that the method can effectively improve the robustness performance.

论文关键词：Flexible job shop,Dynamic scheduling,Robust optimization,Multi-objective optimization,PSAO

论文评审过程：Received 12 July 2021, Revised 29 March 2022, Accepted 30 April 2022, Available online 6 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117489