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Integrating inventory control and capacity management at a maintenance service provider

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  • Nasuh Buyukkaramikli
  • Henny Ooijen
  • J. Bertrand

Abstract

In this paper, we study the capacity flexibility problem of a maintenance service provider, who is running a repair shop and is responsible for the availability of numerous specialized systems which contain a critical component that is prone to failure. Upon a critical component failure, the component is sent to the repair shop and the service provider is responsible for the repair as well as the down-time costs resulting from the system unavailability. In order to decrease the down-time costs, the repair shop keeps an inventory for the critical components, such that a failed critical component can be replaced with a spare one immediately, if it is available. The component inventory stock level and the repair shop capacity level decisions have to be taken jointly by the service provider. The shop floor manager resorts to two different capacity modes in order to make use of capacity flexibility. First one is the single-level capacity mode, in which the capacity level is fixed and is the only capacity related decision. The best results in this mode serve as a reference to the two-level capacity mode, in which there are low (permanent) and high (permanent plus contingent) capacity levels. In this mode, the permanent capacity is always available in the shop, whereas the deployment of the contingent capacity is decided at the start of each period based on the number of components waiting to be repaired in the shop. The relevant capacity decisions of this mode are the permanent and contingent capacity levels, the period length and the states (in terms of number of failed components waiting) where the contingent capacity is deployed. We develop quantitative models based on queuing theory that integrate the inventory level decision with the capacity related decisions for the repair shop, in each of the two capacity modes, in order to minimize the total cost rate of the service provider. Our numerical results suggest that two-level capacity mode can bring substantial savings compared to the best fixed capacity mode and these savings are mostly resulting from lower repair shop capacity usage. Moreover, we find that the system, in most cases, chooses the shortest period length possible, indicating the overarching importance of a fast response to the system state. The system switches to the high capacity mode if the spare part stock is just one or two, then it uses a quite high contingent capacity level, in order to avoid out of stock. If contingent capacity costs are high, system chooses a high level of permanent capacity to prevent frequent capacity switches. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Nasuh Buyukkaramikli & Henny Ooijen & J. Bertrand, 2015. "Integrating inventory control and capacity management at a maintenance service provider," Annals of Operations Research, Springer, vol. 231(1), pages 185-206, August.
    • Handle: RePEc:spr:annopr:v:231:y:2015:i:1:p:185-206:10.1007/s10479-013-1506-1
    DOI: 10.1007/s10479-013-1506-1
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    References listed on IDEAS

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    1. Nasuh Buyukkaramikli & J. Bertrand & Henny Ooijen, 2013. "Flexible hiring in a make to order system with parallel processing units," Annals of Operations Research, Springer, vol. 209(1), pages 159-178, October.
    2. Zijm, W. Henk & Avsar, Zeynep Muge, 2003. "Capacitated two-indenture models for repairable item systems," International Journal of Production Economics, Elsevier, vol. 81(1), pages 573-588, January.
    3. Gary D. Scudder & Warren H. Hausman, 1982. "Spares stocking policies for repairable items with dependent repair times," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 29(2), pages 303-322, June.
    4. James R. Bradley & Peter W. Glynn, 2002. "Managing Capacity and Inventory Jointly in Manufacturing Systems," Management Science, INFORMS, vol. 48(2), pages 273-288, February.
    5. Nima Safaei & Dragan Banjevic & Andrew Jardine, 2011. "Workforce-constrained maintenance scheduling for military aircraft fleet: a case study," Annals of Operations Research, Springer, vol. 186(1), pages 295-316, June.
    6. Pinker, Edieal J. & Larson, Richard C., 2003. "Optimizing the use of contingent labor when demand is uncertain," European Journal of Operational Research, Elsevier, vol. 144(1), pages 39-55, January.
    7. S. Christian Albright & A. Soni, 1988. "Markovian multiechelon repairable inventory system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(1), pages 49-61, February.
    8. S. Christian Albright & Amit Gupta, 1993. "Steady‐state approximation of a multiechelon multi‐indentured repairable‐item inventory system with a single repair facility," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(4), pages 479-493, June.
    9. A Sleptchenko & M C van der Heijden & A van Harten, 2003. "Trade-off between inventory and repair capacity in spare part networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 263-272, March.
    10. Diaz, Angel & Fu, Michael C., 1997. "Models for multi-echelon repairable item inventory systems with limited repair capacity," European Journal of Operational Research, Elsevier, vol. 97(3), pages 480-492, March.
    11. G. J. Feeney & C. C. Sherbrooke, 1966. "The (S - 1, S) Inventory Policy Under Compound Poisson Demand," Management Science, INFORMS, vol. 12(5), pages 391-411, January.
    12. Joseph M. Milner & Edieal J. Pinker, 2001. "Contingent Labor Contracting Under Demand and Supply Uncertainty," Management Science, INFORMS, vol. 47(8), pages 1046-1062, August.
    13. Michael C. Fu & Steven I. Marcus & I-Jeng Wang, 2000. "Monotone Optimal Policies for a Transient Queueing Staffing Problem," Operations Research, INFORMS, vol. 48(2), pages 327-331, April.
    14. Y Perlman & A Mehrez & M Kaspi, 2001. "Setting expediting repair policy in a multi-echelon repairable-item inventory system with limited repair capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 198-209, February.
    15. Barış Tan & Stanley Gershwin, 2004. "Production and Subcontracting Strategies for Manufacturers with Limited Capacity and Volatile Demand," Annals of Operations Research, Springer, vol. 125(1), pages 205-232, January.
    16. Jan A. Van Mieghem, 1999. "Coordinating Investment, Production, and Subcontracting," Management Science, INFORMS, vol. 45(7), pages 954-971, July.
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    Cited by:

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    3. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    4. Libiao Bai & Kanyin Zheng & Zhiguo Wang & Jiale Liu, 2022. "Service provider portfolio selection for project management using a BP neural network," Annals of Operations Research, Springer, vol. 308(1), pages 41-62, January.
    5. Kevin Granville & Steve Drekic, 2020. "A 2-class maintenance model with dynamic server behavior," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 34-96, April.
    6. Qin, Xuwei & Jiang, Zhong-Zhong & Sun, Minghe & Tang, Liang & Liu, Xiaoran, 2021. "Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting," Omega, Elsevier, vol. 102(C).
    7. 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.

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