Title: Maintenance strategy for stochastic selective maintenance of a two-state system
Authors: Jing Zhao; Jian-Chao Zeng
Division of Industrial and System Engineering, Taiyuan University of Science of Technology, Taiyuan 030024, China
School of Computer Science and Control Engineering, North University of China, Taiyuan 030051, China; Division of Industrial and System Engineering, Taiyuan University of Science of Technology, Taiyuan 030024, China
Abstract: Selective maintenance is often applied in many industrial environments where maintenance is performed between sequence missions. When the length of maintenance or work mission time is stochastic, previous research based on deterministic mission times is unsuitable. Assume that the time of work mission is random and maintenance time is determined in a two-state and parallel system, to maximise system reliability of next work mission in this paper a stochastic model is proposed under the maintenance time limit. The optimal maintenance plan is obtained with a hybrid intelligent optimisation algorithm. A simulation was performed to verify the validity and feasibility of the proposed model.
Keywords: stochastic selective maintenance; mission time; maintenance time; stochastic modelling; maintenance strategy; two-state systems; parallel systems; system reliability; intelligent optimisation; simulation.
Int. J. of Wireless and Mobile Computing, 2016 Vol.11, No.4, pp.302 - 308
Submission date: 20 Jun 2016
Date of acceptance: 23 Nov 2016
Available online: 14 Feb 2017