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• W2106887133 abstract "We consider the problem of planning preventive maintenance and overhaul for modules that are used in a fleet of assets such as trains or airplanes. Each type of module, or rotable, has its own maintenance program in which a maximum amount of time/usage between overhauls of a module is stipulated. Overhauls are performed in an overhaul workshop with limited capacity. The problem we study is to determine aggregate workforce levels, turn-around stock levels of modules, and overhaul and replacement quantities per period so as to minimize the sum of labor costs, material costs of overhaul, and turn-around stock investments over the entire life-cycle of the maintained asset. We prove that this planning problem is strongly $mathcal{NP}$ -hard, but we also provide computational evidence that the mixed integer programming formulation can be solved within reasonable time for real-life instances. Furthermore, we show that the linear programming relaxation can be used to aid decision making. We apply the model in a case study and provide computational results for randomly generated instances." @default.
• W2106887133 created "2016-06-24" @default.
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• W2106887133 date "2013-07-18" @default.
• W2106887133 modified "2023-10-10" @default.
• W2106887133 title "Aggregate overhaul and supply chain planning for rotables" @default.
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• W2106887133 doi "https://doi.org/10.1007/s10479-013-1426-0" @default.
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