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Optimization of Aeroengine Shop Visit Decisions Based on Remaining Useful Life and Stochastic Repair Time

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  • Jing Cai
  • Xin Li
  • Xi Chen

Abstract

Considering the wide application of condition-based maintenance in aeroengine maintenance practice, it becomes possible for aeroengines to carry out their preventive maintenance in just-in-time (JIT) manner by reasonably planning their shop visits (SVs). In this study, an approach is proposed to make aeroengine SV decisions following the concept of JIT. Firstly, a state space model (SSM) for aeroengine based on exhaust gas temperature margin is developed to predict the remaining useful life (RUL) of aeroengine. Secondly, the effect of SV decisions on risk and service level (SL) is analyzed, and an optimization of the aeroengine SV decisions based on RUL and stochastic repair time is performed to carry out JIT manner with the requirement of safety and SL. Finally, a case study considering two CFM-56 aeroengines is presented to demonstrate the proposed approach. The results show that predictive accuracy of RUL with SSM is higher than with linear regression, and the process of SV decisions is simple and feasible for airlines to improve the inventory management level of their aeroengines.

Suggested Citation

  • Jing Cai & Xin Li & Xi Chen, 2016. "Optimization of Aeroengine Shop Visit Decisions Based on Remaining Useful Life and Stochastic Repair Time," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, December.
    • Handle: RePEc:hin:jnlmpe:5648360
    DOI: 10.1155/2016/5648360
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    Cited by:

    1. Na Qi & Xun Zhang, 2023. "RETRACTED ARTICLE: Optimization design and implementation of shared information management system for industrial design network platform," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-30, January.

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