Simulation-based optimisation of maintenance systems: Industrial case studies

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dc.contributor.author Alrabghi, Abdullah
dc.contributor.author Tiwari, Ashutosh
dc.contributor.author Savill, Mark
dc.date.accessioned 2017-07-03T10:01:20Z
dc.date.available 2017-07-03T10:01:20Z
dc.date.issued 2017-06-20
dc.identifier.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 en_UK
dc.identifier.issn 0278-6125
dc.identifier.uri http://dx.doi.org/10.1016/j.jmsy.2017.05.008
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/12144
dc.description.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. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Simulation en_UK
dc.subject Maintenance en_UK
dc.subject Discrete event simulation en_UK
dc.subject Optimisation en_UK
dc.subject Industrial case studies en_UK
dc.title Simulation-based optimisation of maintenance systems: Industrial case studies en_UK
dc.type Article en_UK


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