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Priority Scheduling Rules for Repairable Inventory Systems

Author

Listed:
  • Warren H. Hausman

    (Stanford University)

  • Gary D. Scudder

    (University of Minnesota)

Abstract

Improved priority scheduling rules are presented for a repair shop supporting a multi-item repairable inventory system with a hierarchical product structure. A variety of scheduling rules are evaluated using a simulation of a representative shop and product structure. The results indicate that dynamic rules which use inventory status information perform better than other dynamic or static rules which ignore inventory status; moreover, dynamic rules which use work-in-process inventory information outperform dynamic rules which ignore work-in-process inventory levels. In the simulation, the use of improved scheduling rules provides performance equivalent to a 20% reduction in spares inventory.

Suggested Citation

  • Warren H. Hausman & Gary D. Scudder, 1982. "Priority Scheduling Rules for Repairable Inventory Systems," Management Science, INFORMS, vol. 28(11), pages 1215-1232, November.
    • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:11:p:1215-1232
    DOI: 10.1287/mnsc.28.11.1215
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    Citations

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    Cited by:

    1. Levner, Eugene & Perlman, Yael & Cheng, T.C.E. & Levner, Ilya, 2011. "A network approach to modeling the multi-echelon spare-part inventory system with backorders and interval-valued demand," International Journal of Production Economics, Elsevier, vol. 132(1), pages 43-51, July.
    2. Pedram Sahba & Barış Balcıog̃lu & Dragan Banjevic, 2018. "Multilevel rationing policy for spare parts when demand is state dependent," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 751-780, July.
    3. Kathryn E. Caggiano & John A. Muckstadt & James A. Rappold, 2006. "Integrated Real-Time Capacity and Inventory Allocation for Reparable Service Parts in a Two-Echelon Supply System," Manufacturing & Service Operations Management, INFORMS, vol. 8(3), pages 292-319, August.
    4. Arts, Joachim, 2017. "A multi-item approach to repairable stocking and expediting in a fluctuating demand environment," European Journal of Operational Research, Elsevier, vol. 256(1), pages 102-115.
    5. Sleptchenko, A. & van der Heijden, M. C. & van Harten, A., 2005. "Using repair priorities to reduce stock investment in spare part networks," European Journal of Operational Research, Elsevier, vol. 163(3), pages 733-750, June.
    6. 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.
    7. Turan, Hasan Hüseyin & Atmis, Mahir & Kosanoglu, Fuat & Elsawah, Sondoss & Ryan, Michael J., 2020. "A risk-averse simulation-based approach for a joint optimization of workforce capacity, spare part stocks and scheduling priorities in maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    8. David F. Pyke, 1990. "Priority repair and dispatch policies for reparable‐item logistics systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(1), pages 1-30, February.
    9. Carl R. Schultz, 1990. "On the optimality of the (S — 1,S) policy," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(5), pages 715-723, October.
    10. Guide, V. Daniel R. & Srivastava, Rajesh, 1997. "Repairable inventory theory: Models and applications," European Journal of Operational Research, Elsevier, vol. 102(1), pages 1-20, October.
    11. 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.
    12. van der Heijden, M.C. & Alvarez, E.M. & Schutten, J.M.J., 2013. "Inventory reduction in spare part networks by selective throughput time reduction," International Journal of Production Economics, Elsevier, vol. 143(2), pages 509-517.
    13. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.
    14. 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.
    15. Tiemessen, H.G.H. & van Houtum, G.J., 2013. "Reducing costs of repairable inventory supply systems via dynamic scheduling," International Journal of Production Economics, Elsevier, vol. 143(2), pages 478-488.
    16. Meltem Denizel & Behlul Usdiken & Deniz Tuncalp, 2003. "Drift or Shift? Continuity, Change, and International Variation in Knowledge Production in OR/MS," Operations Research, INFORMS, vol. 51(5), pages 711-720, October.

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