TY - GEN
T1 - Maintenance Optimization of Consecutive-k-out-of-n System with Multiobjective Birnbaum Importance-based Particle Swarm Optimization
AU - Cai, Zhiqiang
AU - Ma, Chenyang
AU - Wang, Wei
AU - Zhang, Pan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This paper focuses on the maintenance optimization problem of consecutive-k-out-of-n systems which are maintained through exchanging the position of components and improving the reliability of components. At first, the multi-objective maintenance optimization model is constructed based on comprehensive consideration of the system reliability and maintenance cost. Then, the relationship between component reliability and maintenance cost is discussed and introduced into the Birnbaum importance to establish the idea of multi-objective Birnbaum importance (MOBI). It is clear that the maintenance strategy based on MOBI was more effective than the maintenance strategy based on traditional Birnbaum importance. Thirdly, the MOBI-based particle swarm optimization (MOBI-PSO) method is proposed by taking the advantages of MOBI and particle swarm optimization. Finally, the MOBI-PSO is applied to solve the problem of multi-objective maintenance optimization for consecutive-k-out-of-n systems. The simulation results show that the optimization algorithm based on MOBI could make the system more reliable with lower maintenance cost after maintenance.
AB - This paper focuses on the maintenance optimization problem of consecutive-k-out-of-n systems which are maintained through exchanging the position of components and improving the reliability of components. At first, the multi-objective maintenance optimization model is constructed based on comprehensive consideration of the system reliability and maintenance cost. Then, the relationship between component reliability and maintenance cost is discussed and introduced into the Birnbaum importance to establish the idea of multi-objective Birnbaum importance (MOBI). It is clear that the maintenance strategy based on MOBI was more effective than the maintenance strategy based on traditional Birnbaum importance. Thirdly, the MOBI-based particle swarm optimization (MOBI-PSO) method is proposed by taking the advantages of MOBI and particle swarm optimization. Finally, the MOBI-PSO is applied to solve the problem of multi-objective maintenance optimization for consecutive-k-out-of-n systems. The simulation results show that the optimization algorithm based on MOBI could make the system more reliable with lower maintenance cost after maintenance.
KW - consecutive-k-out-of-n system
KW - maintenance optimization
KW - multi-objective Birnbaum importance
KW - particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=85079678582&partnerID=8YFLogxK
U2 - 10.1109/IEEM44572.2019.8978886
DO - 10.1109/IEEM44572.2019.8978886
M3 - 会议稿件
AN - SCOPUS:85079678582
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1216
EP - 1220
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Y2 - 15 December 2019 through 18 December 2019
ER -