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Practices of preventive maintenance planningin discrete manufacturing industry
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-7494-1474
Chalmers Tekniska Högskola, Goteborg.
2021 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 27, no 2, p. 331-350Article in journal (Refereed) Published
Abstract [en]

"Purpose – The purpose of this study was to assess the readiness of the Swedish manufacturing industry to implement dynamic, data-driven preventive maintenance (PM) by identifying the gap between the state of the art and the state of practice.

Design/methodology/approach – An embedded multiple case study was performed in which some of the largest companies in the discrete manufacturing industry, that is, mechanical engineering, were surveyed regarding the design of their PM programmes.

Findings – The studied manufacturing companies make limited use of the existing scientific state of the art when designing their PM programmes. They seem to be aware of the possibilities for improvement, but they also see obstacles to changing their practices according to future requirements.

Practical implications – The results of this study will benefit both industry professionals and academicians, setting the initial stage for the development of data-driven, diversified and dynamic PM programmes.

Originality/Value – First and foremost, this study maps the current state and practice in PM planning among some of the larger automotive manufacturing industries in Sweden. This work reveals a gap between the stateof the art and the state of practice in the design of PM programmes. Insights regarding this gap show large improvement potentials which may prove important for academics as well as practitioners."

Place, publisher, year, edition, pages
2021. Vol. 27, no 2, p. 331-350
Keywords [en]
Preventive maintenance optimisation, Dynamic maintenance, Diversified preventive maintenance, Manufacturing industry
National Category
Reliability and Maintenance
Research subject
Innovation and Design
Identifiers
URN: urn:nbn:se:mdh:diva-52197DOI: 10.1108/JQME-04-2019-0041ISI: 000645194300005Scopus ID: 2-s2.0-85088790062OAI: oai:DiVA.org:mdh-52197DiVA, id: diva2:1484946
Funder
Vinnova, 2015-06887Available from: 2020-10-30 Created: 2020-10-30 Last updated: 2021-06-21Bibliographically approved

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Salonen, Antti

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