Practices of preventive maintenance planning in discrete manufacturing industry
Artikel i vetenskaplig tidskrift, 2021

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.
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.
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.
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 state of 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.

dynamic maintenance

preventive maintenance optimisation

diversified preventive maintenance

manufacturing industry


Antti Salonen

Mälardalens högskola

Maheshwaran Gopalakrishnan

Chalmers, Industri- och materialvetenskap, Produktionssystem

Journal of Quality in Maintenance Engineering

1355-2511 (ISSN)

Vol. 27 2 331-350

DAIMP - Dataanalys inom underhållsplanering

VINNOVA (2015-06887), 2016-03-01 -- 2019-02-28.


Annan maskinteknik

Tillförlitlighets- och kvalitetsteknik

Datavetenskap (datalogi)





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