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Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem

机译:固定时间间隔的预防性维修与生产相结合的双目标优化调度柔性作业车间问题

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This paper investigates integrated flexible job shop problem (FJSP) with preventive maintenance (PM) activities under the multi-objective optimization approaches. Finding compromise solutions between the production objectives and maintenance ones is under consideration. In order to carry out the maintenance activities, reliability models are employed. This paper attempts to simultaneously optimize two objectives: the minimization of the makespan for the production part and the minimization of the system unavailability for the maintenance part. For doing it so, two decisions are taken at the same time: finding the appropriate assignment of n jobs on m machines in order to minimize the makespan and deciding when to execute the PM activities in order to minimize the system unavailability. Both the maintenance activity numbers and maintenance intervals are not fixed in advance. Four multi-objective optimization methods are compared to find the Pareto-optimal front in the flexible job-shop problem case. Promising the obtained results, a benchmark with a large number of test instances (more than 4800) and meticulous care is employed.
机译:本文研究了在多目标优化方法下具有预防性维护(PM)活动的集成柔性作业车间问题(FJSP)。正在考虑在生产目标和维护目标之间找到折衷解决方案。为了进行维护活动,采用了可靠性模型。本文试图同时优化两个目标:最小化生产部件的制造期和最小化维护部件的系统不可用性。为此,需要同时做出两个决定:在m台机器上找到n个作业的适当分配,以最小化制造周期,并决定何时执行PM活动,以最小化系统不可用性。维护活动编号和维护间隔均未预先确定。比较了四种多目标优化方法,以找到在柔性作业车间问题中的帕累托最优阵线。希望获得的结果令人信服,因此使用了具有大量测试实例(超过4800个)和精心维护的基准。

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