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

作     者：Jing Cai Xin Li Xi Chen 

作者机构：College of Civil Aviation Nanjing University of Aeronautics and Astronautics Shanghai Aircraft Customer Service Co. Ltd. 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2017年第28卷第6期

页      面：1133-1140页

核心收录：

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the Fundamental Research Funds for the Central Universities(NS2015072) 

主　　题：joint optimization maintenance spare provision aircraft part Wiener process 

摘      要：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.