Title: Group maintenance strategy for stochastic selective maintenance

Authors: Jing Zhao; Jianchao Zeng

Addresses: Division of Industrial and System Engineering, Taiyuan University of Science of Technology, Taiyuan 030024, China; College of Information Engineering, Guangdong Mechanical and Electrical Polytechnic, Guangzhou 510515, China ' Division of Industrial and System Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China; School of Computer Science and Control Engineering, North University of China, Taiyuan 030051, China

Abstract: Selective maintenance is often applied to many industrial environments when the maintenance actions are performed between sequence missions. When the length of maintenance or work mission time is stochastic and there are multiple maintenance workers with different capacity, previous works to determine maintenance and mission times are unsuitable for it. Assuming that the time of work mission is random and maintenance time is determined, to maximise system reliability of next work mission, this paper proposes a stochastic model for a two-state system comprising several series-parallel components with multiple maintenance workers under the maintenance time limit. The optimal maintenance plan is obtained by hybrid intelligent optimisation algorithm. The validity and feasibility of the model are verified by the simulation.

Keywords: stochastic model; stochastic selective maintenance; mission time; maintenance time; group maintenance.

DOI: 10.1504/IJWMC.2018.093847

International Journal of Wireless and Mobile Computing, 2018 Vol.14 No.4, pp.362 - 368

Received: 27 Feb 2017
Accepted: 13 Apr 2017

Published online: 28 Jul 2018 *

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