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Priority repair and dispatch policies for reparable‐item logistics systems

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  • David F. Pyke

Abstract

In this article we present the results of a simulation study concerned with reparable electronic equipment on military aircraft. Past studies in the literature have considered priority rules at the repair depot, and one study considered an allocation scheme for distributing repaired items to bases. In this study, we examine the use of a priority rule for sequencing items at a repair depot in conjunction with a priority rule for allocating repaired items to bases. We examine, among other things, the conditions under which it is favorable to consider priority rules. The results indicate that the important variables are the efficiency of the lateral resupply system, the initial allocation of spare stock, and the time it takes to ship items from the depot to bases. The objective throughout is to minimize the expected number of aircraft grounded due to lack of parts.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:navres:v:37:y:1990:i:1:p:1-30
    DOI: 10.1002/1520-6750(199002)37:13.0.CO;2-D
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    References listed on IDEAS

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    1. Gary D. Scudder, 1984. "Priority Scheduling and Spares Stocking Policies for a Repair Shop: The Multiple Failure Case," Management Science, INFORMS, vol. 30(6), pages 739-749, June.
    2. 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.
    3. Warren H. Hausman & Gary D. Scudder, 1982. "Priority Scheduling Rules for Repairable Inventory Systems," Management Science, INFORMS, vol. 28(11), pages 1215-1232, November.
    4. Warren W. Fisher & J. J. Brennan, 1986. "The performance of cannibalization policies in a maintenance system with spares, repair, and resource constraints," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 33(1), pages 1-15, February.
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    2. 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).
    3. Kathryn E. Caggiano & Peter L. Jackson & John A. Muckstadt & James A. Rappold, 2007. "Optimizing Service Parts Inventory in a Multiechelon, Multi-Item Supply Chain with Time-Based Customer Service-Level Agreements," Operations Research, INFORMS, vol. 55(2), pages 303-318, April.
    4. 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.
    5. Nils Rudi & David F. Pyke & Per Olav Sporsheim, 2000. "Product Recovery at the Norwegian National Insurance Administration," Interfaces, INFORMS, vol. 30(3), pages 166-179, June.

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