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Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration

机译:具有多个恶化流的串并联多阶段制造系统的机会性预防性维护计划

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This paper proposes a novel opportunistic preventive maintenance (PM) scheduling methodology for the serial parallel multistage manufacturing systems (SP-MMSs), where PM is performed to improve both the reliability and product quality. A SP-MMS has two essential characteristics: (i) the products can go through different process routes; (ii) the deterioration of a machine will not only affect the key product characteristics (KPCs) formed at the current stage but also propagate to downstream stages and then affect the KPCs formed there. Consequently, the propagation of machine deterioration along different routes will generate multiple streams of deterioration. This phenomenon is mathematically modeled to evaluate the quality of final products. The PM scheduling is based on the modeling of total maintenance cost including minimal repair cost, quality loss and PM-related costs. Firstly, a tentative PM schedule is made for each individual machine by minimizing the corresponding total maintenance cost. Secondly, the tentative PM schedules of all machines are further adjusted to obtain the optimal PM schedule for the system by jointly considering the economic dependence and control of final product quality. A case study shows that the methodology can ensure reasonably high reliability and final product quality for the system with a low total maintenance cost. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文针对串行并行多级制造系统(SP-MMS)提出了一种新颖的机会性预防性维护(PM)调度方法,其中执行PM可以提高可靠性和产品质量。 SP-MMS具有两个基本特征:(i)产品可以通过不同的工艺路线; (ii)机器的劣化不仅会影响在当前阶段形成的关键产品特性(KPC),而且还会传播到下游阶段,然后影响在此阶段形成的KPC。因此,机器劣化沿不同路径的传播将产生多个劣化流。对这一现象进行数学建模以评估最终产品的质量。 PM调度基于总维护成本的建模,包括最小的维修成本,质量损失和与PM相关的成本。首先,通过最小化相应的总维护成本为每个单独的机器制定临时的PM计划。其次,通过综合考虑经济依赖性和最终产品质量的控制,进一步调整所有机器的暂定PM计划,以获得系统的最佳PM计划。案例研究表明,该方法可以确保系统的合理高可靠性和最终产品质量,而总维护成本却很低。 (C)2017 Elsevier Ltd.保留所有权利。

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