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Capacity planning for a maintenance service provider with advanced information

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  • Kurz, Julian

Abstract

Analytical and iterative optimization techniques are employed to solve a job shop-like capacity planning problem for a maintenance service provider with contractually defined lead time requirements. The problem is motivated by a real-life case example, namely the overhaul of airline aircraft engines through an external service provider. The production network is modeled as a network of GI/G/1 queues, where the service rates are the decision variables and capacity costs and penalty costs for not meeting contractually defined lead times are minimized. In addition, we analytically investigate the effects of collaborative maintenance management as a source of advanced information regarding future maintenance demand. More specifically, we consider the benefits of improved service rates and service and demand variabilities on production capacities and total costs. Numerical examples are provided to verify the proposed optimization procedure and illustrate the effects of collaborative maintenance management.

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  • Kurz, Julian, 2016. "Capacity planning for a maintenance service provider with advanced information," European Journal of Operational Research, Elsevier, vol. 251(2), pages 466-477.
    • Handle: RePEc:eee:ejores:v:251:y:2016:i:2:p:466-477
    DOI: 10.1016/j.ejor.2015.11.029
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    1. Zhi-Long Chen & Nicholas G. Hall, 2007. "Supply Chain Scheduling: Conflict and Cooperation in Assembly Systems," Operations Research, INFORMS, vol. 55(6), pages 1072-1089, December.
    2. Gabriel R. Bitran & Devanath Tirupati, 1989. "Tradeoff Curves, Targeting and Balancing in Manufacturing Queueing Networks," Operations Research, INFORMS, vol. 37(4), pages 547-564, August.
    3. Boxma, O. J. & Rinnooy Kan, A. H. G. & van Vliet, M., 1990. "Machine allocation problems in manufacturing networks," European Journal of Operational Research, Elsevier, vol. 45(1), pages 47-54, March.
    4. Morabito, Reinaldo & de Souza, Mauricio C. & Vazquez, Mariana, 2014. "Approximate decomposition methods for the analysis of multicommodity flow routing in generalized queuing networks," European Journal of Operational Research, Elsevier, vol. 232(3), pages 618-629.
    5. Reményi, Christoph & Staudacher, Stephan, 2014. "Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 94-107.
    6. Kan Wu & Leon McGinnis, 2013. "Interpolation approximations for queues in series," IISE Transactions, Taylor & Francis Journals, vol. 45(3), pages 273-290.
    7. Wu, Kan & McGinnis, Leon, 2012. "Performance evaluation for general queueing networks in manufacturing systems: Characterizing the trade-off between queue time and utilization," European Journal of Operational Research, Elsevier, vol. 221(2), pages 328-339.
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    Cited by:

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    8. van Ooijen, Henny & Bertrand, J. Will M. & Buyukkaramikli, Nasuh C., 2019. "Coordinating failed goods collecting and repair capacity policies in the maintenance of commoditized capital goods," International Journal of Production Economics, Elsevier, vol. 208(C), pages 29-42.
    9. Awasthy, Prakash & Hazra, Jishnu, 2020. "Collaboration under outcome-based contracts for information technology services," European Journal of Operational Research, Elsevier, vol. 286(1), pages 350-359.
    10. Sun, Mingyao & Ng, Chi To & Yang, Liu & Zhang, Tianhua, 2024. "Optimal after-sales service offering strategy: Additive manufacturing, traditional manufacturing, or hybrid?," International Journal of Production Economics, Elsevier, vol. 268(C).

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