数学优化
不完美的
整数规划
灵活性(工程)
选择(遗传算法)
可靠性(半导体)
系列(地层学)
计算机科学
整数(计算机科学)
功能(生物学)
非线性系统
可靠性工程
数学
工程类
人工智能
统计
物理
哲学
古生物学
生物
功率(物理)
程序设计语言
进化生物学
量子力学
语言学
作者
Claver Diallo,Uday Venkatadri,Abdelhakim Khatab,Zhuojun Liu,El‐Houssaine Aghezzaf
标识
DOI:10.1080/00207543.2018.1505060
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.
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