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首页> 外文期刊>TOP: An Official Journal of the Spanish Society of Statistics and Operations Research >Joint production and preventive maintenance scheduling for a single degraded machine by considering machine failures
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Joint production and preventive maintenance scheduling for a single degraded machine by considering machine failures

机译:通过考虑机器故障,联合生产和预防性维护调度单个退化机器

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摘要

Production scheduling and maintenance planning are two interdependent issues that most often have been investigated independently. Although both preventive maintenance (PM) and minimal repair affect availability and failure rate of a machine, only a few researchers have considered this interdependency in the literature. Furthermore, most of the existing joint production and preventive maintenance scheduling methods assume that machine is available during the planning horizon and consider only a possible level for PM. In this research, an integrated model is proposed that coordinates preventive maintenance planning with single-machine scheduling to minimize the weighted completion time of jobs and maintenance cost, simultaneously. This paper not only considers multiple PM levels with different costs, times and reductions in the hazard rate of the machine, but also assumes that a machine failure may occur at any time. To illustrate the effectiveness of the suggested method, it is compared to two situations of no PM and a single PM level. Eventually, to tackle the suggested problem, multi-objective particle swarm optimization and non-dominated sorting genetic algorithm (NSGA-II) are employed and their parameters are tuned Furthermore, their performances are compared in terms of three metrics criteria.
机译:生产调度和维护规划是两个最常识的问题,最常是独立调查的。虽然既有预防性维护(PM)和最小的修复会影响机器的可用性和故障率,但只有少数研究人员都认为在文献中也被认为是这种相互依赖性。此外,大多数现有的联合生产和预防性维护调度方法假设在规划地平线期间可用,并仅考虑PM的可能水平。在本研究中,提出了一种集成模型,以便在单机调度中协调预防性维护计划,以尽量减少作业和维护成本的加权完成时间。本文不仅考虑了多个PM水平,具有不同的成本,时间和减少机器的危险率,还假设可能随时发生机器故障。为了说明所提出的方法的有效性,将其与NO PM的两个情况进行比较和单个PM水平。最终,为了解决建议的问题,采用多目标粒子群优化和非主导的分类遗传算法(NSGA-II),并且其参数进一步调整,以三个度量标准比较它们的性能。

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