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Optimal joint selective imperfect maintenance and multiple repairpersons assignment strategy for complex multicomponent systems

机译:复杂多组件系统的最优联合选择性不完善维护和多名维修人员分配策略

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摘要

This paper addresses the joint selective maintenance and repairperson assignment problem (JSM-RAP) for complex multicomponent systems. The systems perform consecutive missions separated by scheduled finite duration breaks and are imperfectly maintained during the breaks. Current selective maintenance (SM) models usually assume that only one repair channel is available or that the repairperson assignment optimisation can be done at a subsequent stage. Using a generalised reliability function for k-out-of-n systems, we formulate the JSM-RAP for multicomponent systems more complex than the series-parallel systems commonly used in previous SM models. Two nonlinear formulations and their corresponding binary integer programming models are then proposed and optimally solved. Numerical experiments show the added value of the proposed approach and highlight the benefit of jointly carrying out the selection of the components to be maintained, the maintenance level to be performed and the assignment of the maintenance tasks to repairpersons. It is also shown that the flexibility provided by mixed skill cohorts of repairpersons over uniform cohorts can yield higher performance levels when the skillsets are significantly different.
机译:本文讨论了复杂的多组件系统的联合选择性维护和维修人员分配问题(JSM-RAP)。该系统执行连续的任务,这些任务由计划的有限持续时间间隔分隔开,并且在间隔期间无法完美维护。当前的选择性维护(SM)模型通常假定只有一个维修渠道可用,或者维修人员分配优化可以在后续阶段进行。通过对n个系统中的k个系统使用广义可靠性函数,我们为比以前的SM模型中通常使用的串并联系统更复杂的多组件系统制定了JSM-RAP。然后提出了两种非线性公式及其对应的二进制整数规划模型,并对其进行了优化求解。数值实验表明了该方法的附加价值,并突出了共同选择要维护的组件,要执行的维护级别以及将维护任务分配给维修人员的好处。还显示出,当技能组明显不同时,维修人员的混合技能组比统一组提供的灵活性可以产生更高的性能水平。

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