A high‐performance maintenance strategy for stochastic selective maintenance. (25th October 2018)

• Record Type: Journal Article
• Authors: Zhao, Jing; Liu, Jianqi; Zhao, Zhenting; Xin, Miao; Chen, Yu
• Other Names: Sundhararajan guestEditor.; Bhuiyan Md Zakirul Alam guestEditor.; Li Xiong guestEditor.; Rawal Bharat S. guestEditor.
• Is Part Of: Concurrency and computation. Volume 31:Number 12(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-10-25
• Subjects: group maintenance -- maintenance time -- mission time -- stochastic model -- stochastic selective maintenance; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4840
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Selective maintenance is often applied in many industrial environments where maintenance is performed between sequence missions. When the mission time is stochastic and there are multiple maintenance workers with different capacities, the system reliability of the next work mission can be maximized by using a stochastic model under the constraint of the limit maintenance time. The optimal maintenance strategy is obtained with an optimization algorithm. A simulation was performed to verify the validity and feasibility of the proposed model.