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Aggregate overhaul and supply chain planning for rotables

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  • Joachim Arts
  • Simme Flapper

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. Copyright Springer Science+Business Media New York 2015

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  • Joachim Arts & Simme Flapper, 2015. "Aggregate overhaul and supply chain planning for rotables," Annals of Operations Research, Springer, vol. 224(1), pages 77-100, January.
    • Handle: RePEc:spr:annopr:v:224:y:2015:i:1:p:77-100:10.1007/s10479-013-1426-0
    DOI: 10.1007/s10479-013-1426-0
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    References listed on IDEAS

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    Cited by:

    1. Turan, Hasan Hüseyin & Jalalvand, Fatemeh & Elsawah, Sondoss & Ryan, Michael J., 2022. "A joint problem of strategic workforce planning and fleet renewal: With an application in defense," European Journal of Operational Research, Elsevier, vol. 296(2), pages 615-634.
    2. Omar Besbes & Adam N. Elmachtoub & Yunjie Sun, 2020. "Pricing Analytics for Rotable Spare Parts," Interfaces, INFORMS, vol. 50(5), pages 313-324, September.

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