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Static Repair Priorities

In: Spare Parts Inventory Control under System Availability Constraints

Author

Listed:
  • Geert-Jan Houtum

    (Eindhoven University of Technology)

  • Bram Kranenburg

    (Consultants in Quantitative Methods CQM B.V.)

Abstract

In this chapter, we study a multi-item, single-location inventory model with a capacitated repair shop. The repair shop is modeled as a single exponential server. This is not realistic in general, but leads to a fair way of studying the effect of setting static priorities in the repair shop. The idea is that total costs can be reduced when expensive repairable parts get a high priority and relatively low basestock levels (leading to a strong decrease in costs) and cheap repairable parts get a low priority and relatively high basestock levels (leading to a limited increase in costs). We derive an exact evaluation method under a given priority setting and given basestock levels. Next, we show that the basestock levels can easily be optimized under a given priority assignment. Finally, we give an exact method and multiple heuristic methods for the priority assignment. We show that the use of static priorities, in comparison to having no priorities, leads to a large reduction (40 % or more) in total costs in many instances. We also show that two priority classes suffice to obtain 90 % of the maximal savings via static priorities.

Suggested Citation

  • Geert-Jan Houtum & Bram Kranenburg, 2015. "Static Repair Priorities," International Series in Operations Research & Management Science, in: Spare Parts Inventory Control under System Availability Constraints, edition 127, chapter 0, pages 185-208, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7609-3_8
    DOI: 10.1007/978-1-4899-7609-3_8
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