Selective maintenance decision optimization for systems executing multi-mission under stochastic mission duration  

作　　者：MA Weining DONG Enzhi LI Hua ZHAO Mei 

机构地区：[1]Shijiazhuang Campus of Army Engineering University of PLA,Shijiazhuang 050003,China

出　　处：《Journal of Systems Engineering and Electronics》2025年第1期209-223,共15页系统工程与电子技术(英文版)

摘　　要：This paper investigates the selective maintenance o systems that perform multi-mission in succession. Selective maintenance is performed on systems with limited break time to improve the success of the next mission. In general, the duration of the mission is stochastic. However, existing studies rarely take into account system availability and the repairpersons with different skill levels. To solve this problem, a new multi-mission selective maintenance and repairpersons assignment model with stochastic duration of the mission are developed. To maximize the minimum phase-mission reliability while meeting the minimum system availability, the model is transformed into an optimization problem subject to limited maintenance resources. The optimization is then realized using an analytical method based on a self-programming function and a Monte Carlo simulation method, respectively. Finally, the validity of the model and solution method approaches are verified by numerical arithmetic examples. Comparative and sensitivity analyses are made to provide proven recommendations for decision-makers.

关 键 词：multi-mission system selective maintenance problem stochastic duration Monte Carlo simulation AVAILABILITY 

分 类 号：E91[军事]