A novel framework for simulation-based optimisation of maintenance systems

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dc.contributor.author Alrabghi, Abdullah
dc.contributor.author Tiwari, Ashutosh
dc.date.accessioned 2016-08-05T09:14:36Z
dc.date.available 2016-08-05T09:14:36Z
dc.date.issued 2016-03-31
dc.identifier.citation Alrabghi, A., Tiwari, A. (2016) A novel framework for simulation-based optimisation of maintenance systems, International Journal of Simulation Modelling, Vol. 15, Issue 1, pp. 16-28 en_UK
dc.identifier.issn 1726-4529
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/10230
dc.identifier.uri http://dx.doi.org/10.2507/IJSIMM15(1)2.316
dc.description.abstract The maintenance function in manufacturing has been gaining growing interest and significance. Simulation based optimisation has a high potential in supporting maintenance managers to make the right decisions in complex maintenance systems. Surveys in maintenance optimisation have repeatedly reported the need of a framework that provides adequate level of details to guide both academics and practitioners in optimising maintenance systems. The purpose of the current study is to address this gap by developing a novel framework that supports decision making for maintenance in manufacturing systems. The framework is developed by synthesising research attempts to optimise maintenance by simulation, examining existing maintenance optimisation frameworks and capturing framework requirements from review papers in the area as well as publications on future maintenance applications. As a result, the framework addresses current issues in maintenance such as complexity, multi-objective optimisation and uncertainty. The framework is represented by a standard flowchart to facilitate its use. en_UK
dc.language.iso en en_UK
dc.publisher DAAAM International en_UK
dc.rights Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subject Simulation en_UK
dc.subject Optimisation en_UK
dc.subject Maintenance en_UK
dc.subject Framework en_UK
dc.subject Complex systems en_UK
dc.title A novel framework for simulation-based optimisation of maintenance systems en_UK
dc.type Article en_UK


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