Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (1): 291-301.doi: 10.12305/j.issn.1001-506X.2023.01.34

• Reliability • Previous Articles    

Joint policy optimization of condition-based maintenance and spare ordering considering competing failure

Fei ZHAO1,2,*, Xin LI1, Jian ZHANG3   

  1. 1. School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
    2. School of Business Administration, Northeastern University, Shenyang 110819, China
    3. CRRC Tangshan Co., Ltd., Tangshan 063000, China
  • Received:2022-02-14 Online:2023-01-01 Published:2023-01-03
  • Contact: Fei ZHAO

Abstract:

For single-component system, the joint policy of condition-based maintenance and spare ordering considering the competitive failure is proposed. The control limit maintenance policy and the dynamic random shock threshold mechanism are adopted to determine whether there is preventive maintenance (PM) or corrective replacement (CR). When the system degradation reaches the PM threshold, imperfect maintenance (IPM) is performed. And once the maximal number of IPM is met preventive replacement (PR) is performed. The influence of IPM and random shocks on the degradation level and degradation rate is introduced into the Wiener-based multi-stage degradation model. The spare ordering threshold is introduced, and the relationship between the random shocks amplitude and the shocks threshold is used to decide whether to order a spare. All possible renewal events are analyzed and the expected mean cost rate is minimized by using the renewal award theorem. The discrete event simulation algorithm is designed and the effectiveness of the proposed joint policy optimization model and the algorithm are verified by a numerical example.

Key words: competing failure, condition-based maintenance, spare ordering, Wiener process, renewal award theorem

CLC Number: 

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