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Optimal Bivariate Spare Part Ordering and Replacement Policies for a Deteriorating System with Random Shocks

In: Reliability Analysis and Maintenance Optimization of Complex Systems

Author

Listed:
  • Wenjie Dong

    (Nanjing University of Aeronautics and Astronautics)

  • Shey-Huei Sheu

    (Asia University
    China Medical University Hospital, China Medical University)

  • Naiming Xie

    (Nanjing University of Aeronautics and Astronautics)

Abstract

The optimal bivariate spare part ordering and replacement policy for a single component system suffering from both performance deterioration and random shocks is taken into consideration in this paper. To be specific, a deteriorating complex system is simultaneously subject to external shocks, while the influence of shock damage can be removed by minimal repair. A spare unit for replacement is regularly ordered associated with system operation time and the number of minimal repairs, or emergently ordered at system failure, whichever takes place first. Three different kinds of objectives where system availability, average cost rate, and expected cost effectiveness are compared and optimized respectively to seek for the optimal spare part ordering policy. The useful managerial insights and guidelines are twofold: (1) more influential factors, for example, the continuous operation time and the discrete number of repairs in this current research are encouraged to be incorporated into the spare unit ordering decision; (2) an optimal ordering policy in spare management constantly varies in the context of different optimization aims.

Suggested Citation

  • Wenjie Dong & Shey-Huei Sheu & Naiming Xie, 2025. "Optimal Bivariate Spare Part Ordering and Replacement Policies for a Deteriorating System with Random Shocks," Springer Series in Reliability Engineering, in: Qian Qian Zhao & Il Han Chung & Junjun Zheng & Jongwoon Kim (ed.), Reliability Analysis and Maintenance Optimization of Complex Systems, pages 183-207, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-70288-4_12
    DOI: 10.1007/978-3-031-70288-4_12
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