State of the art in simulation-based optimisation for maintenance systems

Simple item page
dc.contributor.authorAlrabghi, Abdullah
dc.contributor.authorTiwari, Ashutosh
dc.date.accessioned2019-04-12T11:35:14Z
dc.date.available2019-04-12T11:35:14Z
dc.date.issued2014-12-29
dc.description.abstractRecently, more attention has been directed towards improving and optimising maintenance in manufacturing systems using simulation. This paper aims to report the state of the art in simulation-based optimisation of maintenance by systematically classifying the published literature and outlining main trends in modelling and optimising maintenance systems. The authors investigate application areas and published real case studies as well as researched maintenance strategies and policies. Much of the research in this area is focusing on preventive maintenance and optimising preventive maintenance frequency that will lead to the minimum cost. Discrete event simulation was the most reported technique to model maintenance systems whereas modern optimisation methods such as Genetic Algorithms was the most reported optimisation method in the literature. On this basis, the paper identifies the current gaps and discusses future prospects. Further research can be done to develop a framework that guides the experimenting process with different maintenance strategies and policies. More real case studies can be conducted on multi-objective optimisation and condition based maintenance especially in a production context.en_UK
dc.identifier.citationAbdullah Alrabghi and Ashutosh Tiwari. State of the art in simulation-based optimisation for maintenance systems. Computers and Industrial Engineering, Volume 82, April 2015, Pages 167-182en_UK
dc.identifier.issn0360-8352
dc.identifier.urihttps://doi.org/10.1016/j.cie.2014.12.022
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14075
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.subjectOptimisationen_UK
dc.subjectMaintenanceen_UK
dc.subjectModellingen_UK
dc.subjectReviewen_UK
dc.titleState of the art in simulation-based optimisation for maintenance systemsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
simulation-based_optimisation_for_maintenance_systems-2014.pdf
Size:
919.25 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)