Production planning in maintenance facilities under uncertain repair time

被引:0
|
作者
Kafiabad, Shayan Tavakoli [1 ,2 ]
Zanjani, Masoumeh Kazemi [1 ,2 ]
Nourelfath, Mustapha [1 ,3 ]
机构
[1] Interuniv Res Ctr Enterprise Networks Logist & Tra, Montreal, PQ, Canada
[2] Concordia Univ, Montreal, PQ, Canada
[3] Laval Univ, Quebec City, PQ, Canada
关键词
Maintenance planning; workforce training; random repair time; multi-stage stochastic programming; capable to promise; PROGRAMMING APPROACH; PARTS LOGISTICS; OPERATIONS;
D O I
10.1080/01605682.2023.2237068
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Production planning in maintenance facilities that rely on the availability of certified operators is a challenging task. This is primarily attributed to the need for the integration of workforce training with the operations schedule, in addition to the uncertain repair time of some components. We confine our attention to the repair and overhaul of advanced technological devices that are composed of several components. In this context, this study proposes a novel approach to embedding uncertain repair times of faulty components and develops a multi-stage stochastic programming model for integrated production and workforce planning in such facilities under independent random repair time. Our numerical experiments conducted on a range of problem instances expose the significant value of incorporating repair time uncertainty in this problem.
引用
收藏
页码:1126 / 1139
页数:14
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