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Imperfect preventive maintenance optimization for flexible flowshop manufacturing cells considering sequence-dependent group scheduling

机译：考虑序列相关组调度的柔性Flowshop制造单元不完善的预防性维护优化

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摘要

Flexible flowshop manufacturing cells (FFMCs) have been widely applied to achieve the efficiency of high-volume manufacturing for products of small-to-medium demand. In FFMCs, jobs from several groups are processed at several stages with the same route and group-varying machining conditions. This paper integrates imperfect preventive maintenance (PM) and sequence-dependent group scheduling (GS) in FFMCs. A machine-level model is developed to describe machine reliability evolution under group-varying conditions. A system-level model is proposed to simultaneously obtain the planning of PM and GS by minimizing PM cost, minimal repair cost, and job tardiness cost in FFMCs. To solve the model, a simulated annealing embedded genetic algorithm (SAGA) is developed. Experiments show that the PM policy obtained by our proposed model can remarkably save cost when compared with three other types of policies. Further experiments present that the integer-key based chromosome representation of SAGA excels a random-key based representation, and SAGA outperforms SA and GA in terms of both the solution quality and robustness.
机译：柔性流水车间制造单元（FFMC）已被广泛应用，以实现中小型需求产品的大批量生产效率。在FFMC中，来自多个组的作业将在多个阶段以相同的路线和不同的加工条件进行处理。本文将不完善的预防性维护（PM）和基于序列的小组调度（GS）集成在一起。建立了机器级模型来描述在组变化条件下机器可靠性的演变。提出了一种系统级模型，通过最小化FFMC的PM成本，最小的维修成本和作业时间成本，同时获得PM和GS的计划。为了求解该模型，开发了一种模拟退火嵌入式遗传算法（SAGA）。实验表明，与其他三种类型的策略相比，我们提出的模型获得的PM策略可以显着节省成本。进一步的实验表明，SAGA的基于整数键的染色体表示优于基于随机键的表示，并且SAGA在解决方案质量和鲁棒性方面均优于SA和GA。

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  • 来源
    《Reliability Engineering & System Safety》 |2018年第8期|218-229|共12页
  • 作者

    Feng Hanxin; Xi Lifeng; Xiao Lei; Xia Tangbin; Pan Ershun;

  • 作者单位

    Shanghai Jiao Tong Univ, Sch Mech Engn, Dept Ind Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Mech Engn, Dept Ind Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Mech Engn, Dept Ind Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Mech Engn, Dept Ind Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Mech Engn, Dept Ind Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Genetic algorithm; Group scheduling; Machining condition; Preventive maintenance; Simulated annealing;

    机译：遗传算法;分组调度;加工条件;预防性维护;模拟退火;

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