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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. 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. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.

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