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Measuring preconceived beliefs on the results of overall equipment effectiveness - A case study in the automotive manufacturing industry
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Volvo Construct Equipment, Eskilstuna, Sweden..ORCID iD: 0000-0002-0729-0122
Volvo Construct Equipment, Eskilstuna, Sweden..
Volvo Construct Equipment, Eskilstuna, Sweden..
2022 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 28, no 2, p. 391-410Article in journal (Refereed) Published
Abstract [en]

Purpose The purpose of the study is to test if it, by the use of a survey methodology, is possible to measure managers' awareness on, and specifically if there exist preconceived beliefs on, overall equipment effectiveness (OEE) results. The paper presents the design of the survey methodology as well as a test of the survey in one case company. Design/methodology/approach Actual OEE logs from a case company are collected and a survey on the data is designed and managers at the same case company are asked to answer the survey. The survey results are followed-up by an interview study in order to get deeper insights to both the results of the survey as well as the OEE strategy at the case company. Findings The findings show that the managers at this particular case company, on a general level, does not suffer too much from preconceived beliefs. However, it is clear that the managers have a preconceived belief that lack of material is logged as a loss much more often than what it actually is. Research limitations/implications The test has only been performed with data from one case company within the automotive manufacturing industry and only the managers at that case company has been active in the test. Practical implications The survey methodology can be replicated and used by other companies to find out how aware their employees are on their OEE results and if possible preconceived beliefs exists. Originality/value To the authors' knowledge, this is the first attempt at measuring if preconceived beliefs on OEE results exist.

Place, publisher, year, edition, pages
EMERALD GROUP PUBLISHING LTD , 2022. Vol. 28, no 2, p. 391-410
Keywords [en]
Overall equipment effectiveness, Lean manufacturing, Manufacturing performance improvement
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-53474DOI: 10.1108/JQME-03-2020-0016ISI: 000610573100001Scopus ID: 2-s2.0-85099694640OAI: oai:DiVA.org:mdh-53474DiVA, id: diva2:1529645
Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2022-08-29Bibliographically approved

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Bengtsson, Marcus

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