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Machine maintenance decision support system: A systematic literature review
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-2545-7838
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 349-354Conference paper, Published paper (Refereed)
Abstract [en]

Growing competition market situations have emerged the requirement of the real-time data, understanding data behaviour, and maintenance actions in the manufacturing system. The future decision-making process in manufacturing needs to be more flexible to adapt to various methods for maintenance decision support systems (MDSS). This paper classifies various application areas of MDSS through a systemic literature review. Specifically, it identifies the relationship between the machine maintenance areas and the processes in which it integrates different tools and techniques to develop MDSS. The accumulated information helps in analyzing trends and shortcomings to concentrate the efforts for future research work. The reviewed papers are selected based on the contents, application tool assessments and clustered by their application areas. Furthermore, it proposes a structure outlined based on the functional knowledge as well as the information flow design during the development of MDSS, along with the relationship among application areas.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018. p. 349-354
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords [en]
Decision Support System, Literature Review, Machine Maintenance, Artificial intelligence, Decision making, Industrial research, Maintenance, Manufacture, Decision making process, Information flows, Literature reviews, Maintenance Action, Maintenance decision support system, Systematic literature review, Tools and techniques, Decision support systems
National Category
Production Engineering, Human Work Science and Ergonomics Information Systems Reliability and Maintenance
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-16493DOI: 10.3233/978-1-61499-902-7-349ISI: 000462212700056Scopus ID: 2-s2.0-85057392073ISBN: 978-1-61499-901-0 (print)ISBN: 978-1-61499-902-7 (electronic)OAI: oai:DiVA.org:his-16493DiVA, id: diva2:1270543
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-06-05Bibliographically approved

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Gandhi, KanikaNg, Amos H. C.

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