A review of simulation-based optimisation in maintenance operations

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dc.contributor.authorAlrabghi, Abdullah
dc.contributor.authorTiwari, Ashutosh
dc.date.accessioned2019-04-12T08:45:43Z
dc.date.available2019-04-12T08:45:43Z
dc.date.issued2013-06-10
dc.description.abstractThis paper aims to report the state of the art of research in simulation-based optimisation of maintenance operations by systematically classifying the published literature and outlining various tools and techniques used by researchers to model and optimise maintenance operations. The authors investigate the critical elements and aspects of maintenance systems and how well they are represented in the literature as well as various approaches to problem formulation. On this basis, the paper identifies the current gaps and discusses future prospects. It is observed that discrete event is the most widely used simulation technique while non-traditional optimisation algorithms such as genetic algorithms and simulated annealing are the most reported optimisation techniques. Little attention has been paid to the discussion and analysis of different elements in the maintenance environment and their effect on the maintenance system behaviour. There is a need for verifying suggested models through real life case studies.en_UK
dc.identifier.citationAbdullah Alrabghi and Ashutosh Tiwari. A review of simulation-based optimisation in maintenance operations. 2013 UKSim 15th International Conference on Computer Modelling and Simulation (UKSim 2013), 10-12 April 2013, Cambridge, UKen_UK
dc.identifier.isbn9780769549941
dc.identifier.urihttps://doi.org/10.1109/UKSim.2013.27
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14069
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleA review of simulation-based optimisation in maintenance operationsen_UK
dc.typeConference paperen_UK

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