Group maintenance strategy for stochastic selective maintenance

2018 ◽  
Vol 14 (4) ◽  
pp. 362
Author(s):  
Jing Zhao ◽  
Jianchao Zeng
Keyword(s):  
Maintenance Strategy ◽  
Selective Maintenance

A high‐performance maintenance strategy for stochastic selective maintenance

2018 ◽  
Vol 31 (12) ◽  
Author(s):  
Jing Zhao ◽  
Jianqi Liu ◽  
Zhenting Zhao ◽  
Miao Xin ◽  
Yu Chen
Keyword(s):  
High Performance ◽  
Maintenance Strategy ◽  
Selective Maintenance

scholarly journals Optimal Selective Maintenance Decision-Making for Consecutive-Mission Systems with Variable Durations and Limited Maintenance Time

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huiying Gao ◽  
Xiaoqiang Zhang ◽  
Xiaoqiang Yang ◽  
Bo Zheng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Great Influence ◽  
Maintenance Strategy ◽  
Maintenance Time ◽  
Selective Maintenance ◽  
Maintenance Decision ◽  
Set Up ◽  
Maintenance Model ◽  
Repairable Components

Maintenance is inevitable for repairable components or systems in modern industries. Since the maintenance effectiveness has a great influence on the subsequent operations and in addition, different maintenance options are possible for the components of the system during the break between any two successive missions, the optimal selective maintenance strategy needs to be determined for a system performing successive missions. A number of selective maintenance models were set up on the basis that the durations of each mission are predetermined, the maintenance time is negligible, and the states of the components at the end of the previous mission can be accurately obtained. However, in the actual industrial and military missions, these premises may not always hold. In this paper, a novel selective maintenance model under uncertainties and limited maintenance time is proposed to improve these deficiencies. The genetic algorithm is selected to solve the optimization problem, and an illustrative example is presented to demonstrate the proposed method. The optimal selective maintenance decision without the constraint of maintenance time is used for comparison.

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