Title: Investigating the application of meta-heuristic algorithms in optimising opportunistic maintenance: an exploratory study

Authors: Arash Shahin; Saeede Jokar

Addresses: Department of Management, University of Isfahan, Hezarjarib St., 81746-73441, Isfahan, Iran ' Department of Management, University of Isfahan, Hezarjarib St., 81746-73441, Isfahan, Iran

Abstract: Opportunistic maintenance is very effective in optimising the existing costs of production. The aim of this article is to optimise opportunistic maintenance. For this purpose, based on an example, various methods such as genetic algorithm, imperialist competition algorithm, simulated annealing algorithm, artificial bee colony algorithm and particle swarm algorithm have been considered for solving the problem and the approaches have been compared to find the most cost effective approach. Findings imply that the imperialist competition algorithm is the most suitable solution.

Keywords: opportunistic maintenance; optimisation; imperialist competition algorithm; simulated annealing algorithm; genetic algorithm; artificial bees colony algorithm; particle swarm algorithm.

DOI: 10.1504/IJISE.2018.094846

International Journal of Industrial and Systems Engineering, 2018 Vol.30 No.2, pp.253 - 265

Received: 01 Aug 2016
Accepted: 03 Dec 2016
Published online: 25 Sep 2018 *

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