Simulation-based optimisation of maintenance systems: Industrial case studies

dc.contributor.authorAlrabghi, Abdullah
dc.contributor.authorTiwari, Ashutosh
dc.contributor.authorSavill, Mark
dc.date.accessioned2017-07-03T10:01:20Z
dc.date.available2017-07-03T10:01:20Z
dc.date.issued2017-06-20
dc.description.abstractInvestigating 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.identifier.citationAbdullah 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 191-206en_UK
dc.identifier.cris17935670
dc.identifier.issn0278-6125
dc.identifier.urihttp://dx.doi.org/10.1016/j.jmsy.2017.05.008
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12144
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSimulationen_UK
dc.subjectMaintenanceen_UK
dc.subjectDiscrete event simulationen_UK
dc.subjectOptimisationen_UK
dc.subjectIndustrial case studiesen_UK
dc.titleSimulation-based optimisation of maintenance systems: Industrial case studiesen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Simulation-based_optimisation_of_maintenance-2017.pdf
Size:
1.21 MB
Format:
Adobe Portable Document Format
Description: