Simulation-based optimisation of maintenance systems: Industrial case studies

Date published

2017-06-20

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Elsevier

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Article

ISSN

0278-6125

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Citation

Abdullah Alrabghi, Ashutosh Tiwari, Mark Savill, Simulation-based optimisation of maintenance systems: Industrial case studies, Journal of Manufacturing Systems, Volume 44, Part 1, July 2017, Pages 191-206

Abstract

Investigating the optimum blend of maintenance strategies for a given manufacturing system is a continuing concern amongst maintenance academics and professionals. Recent evidence suggests that little research is conducted on the simulation optimisation of maintenance in industrial systems. This study was designed to make an important contribution to the field of simulation-based optimisation of maintenance by presenting two empirical case studies: a tyre re-treading factory and a petro-chemical plant. It is one of the first to optimise various maintenance strategies simultaneously with their parameters in industrial manufacturing systems while considering production dynamics. Stochastic Discrete Event Simulation models were developed and connected to a Multi-Objective Optimisation engine. Various maintenance strategies were investigated including Corrective Maintenance, Preventive Maintenance, Opportunistic Maintenance and Condition-Based Maintenance. The results of this research suggest that over-looking the optimisation of maintenance on the strategic level may lead to sub-optimal solutions. In addition, it appears that traditional trade-offs between maintenance cost and production throughput are not present in some maintenance systems. This is an interesting observation that requires further investigation and experimentation.

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Github

Keywords

Simulation, Maintenance, Discrete event simulation, Optimisation, Industrial case studies

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Attribution-NonCommercial-NoDerivatives 4.0 International

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