Measuring preconceived beliefs on the results of overall equipment effectiveness – A case study in the automotive manufacturing industry

Abstract

PurposeThe 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/approachActual 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.FindingsThe 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/implicationsThe 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 implicationsThe 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/valueTo the authors' knowledge, this is the first attempt at measuring if preconceived beliefs on OEE results exist.