Identification of maintenance improvement potential using OEE assessment
Journal article, 2017

Purpose – The purpose of this paper is to identify maintenance improvement potentials using an overall equipment effectiveness (OEE) assessment within the manufacturing industry. Design/methodology/approach – The paper assesses empirical OEE data gathered from 98 Swedish companies between 2006 and 2012. Further analysis using Monte-Carlo simulations were performed in order to study how each OEE component impacts the overall OEE. Findings – The paper quantifies the various equipment losses in OEE, as well as the factors availability, utilization, speed, quality, and planned stop time. From the empirical findings, operational efficiency losses are found to have the largest impact on OEE followed by availability losses. Based on the results, improvement potentials and future trends for maintenance are identified, including a systems view and an extended scope of maintenance. Originality/value – The paper provides detailed insights about the state of equipment effectiveness in terms of OEE in the manufacturing industry. Further, the results show how individual OEE components impact overall productivity and efficiency of the production system. This paper contributes with the identification of improvement potentials that are necessary for both practitioners and academics to understand the new direction in which maintenance needs to move. The authors argue for a service-oriented organization. Keywords Manufacturing, Overall equipment effectiveness, Maintenance,Production service and maintenance systems Paper type Research paper

Overall equipment effectiveness

Production service and maintenance systems




Torbjörn Ylipää

Chalmers, Product and Production Development, Production Systems

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Jon Bokrantz

Chalmers, Product and Production Development, Production Systems

Maheshwaran Gopalakrishnan

Chalmers, Product and Production Development, Production Systems

International Journal of Productivity and Performance Management

1741-0401 (ISSN)

Vol. 66 1 126-143

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Areas of Advance




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