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Joint optimization of maintenance inspection and spare provisioning for aircraft deteriorating parts

Journal of Systems Engineering and Electronics 2017年第6期28卷 1133-1140页

作者： Jing Cai Xin Li Xi Chen College of Civil Aviation Nanjing University of Aeronautics and Astronautics Shanghai Aircraft Customer Service Co. Ltd.

With the wide application of condition based maintenance(CBM) in aircraft maintenance practice, the joint optimization of maintenance and inventory management, which can take full advantage of CBM and reduce the aircraft operational cost, is receiving increasing attention. In order to optimize the inspection interval, maintenance decision and spare provisioning together for aircraft deteriorating parts, firstly, a joint inventory management strategy is presented, then, a joint optimization of maintenance inspection and spare provisioning for aircraft parts subject to the Wiener degradation process is proposed based on the ***, a combination of the genetic algorithm(GA) and the Monte Carol method is developed to minimize the total cost ***, a case study is conducted and the proposed joint optimization model is compared with the existing optimization model and the airline real case. The results demonstrate that the proposed model is more beneficial and effective. In addition, the sensitivity analysis of the proposed model shows that the lead time has higher influence on the optimal results than the urgent order cost and the corrective maintenance cost, which is consistent with the actual situation of aircraft maintenance practices and inventory management.

关键词： joint optimization maintenance spare provision aircraft part Wiener process

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