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Development of a model for maintenance performance measurement

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Purpose The purpose of this paper is to develop a model that can measure the equipment maintenance performance of the energy company K-company. Design/methodology/approach The case study method was adopted… Click to show full abstract

Purpose The purpose of this paper is to develop a model that can measure the equipment maintenance performance of the energy company K-company. Design/methodology/approach The case study method was adopted for the investigation of maintenance performance indicators (MPIs). The development of a model for measuring maintenance performance suggested new ways to apply the methodologies of existing papers to evaluate the level of maintenance. Findings Maintenance indicators, which are managed differently for each plant, were assessed for their performance relevance, applicability and data reliability and then standardized into five key MPIs. The MPI model, which enables comprehensive and quantitative measurement of maintenance performance using the five selected MPIs, was presented, and the criteria for assessing the maintenance level were presented in five stages. Practical implications The authors selected MPIs that match the characteristics of the company and proposed a model that can comprehensively and quantitatively evaluate maintenance performance. The model also standardizes maintenance indicators that are individually managed and provides a basis for comparing and indexing the level of maintenance indicators at each plant. Originality/value The criterion for selecting the key MPIs considering the characteristics of the company and a model that can comprehensively and quantitatively evaluate maintenance performance were presented. In addition, a standard for evaluating the level of maintenance at the global level of maintenance management was suggested.

Keywords: maintenance performance; maintenance; development model; performance; level maintenance

Journal Title: Journal of Quality in Maintenance Engineering
Year Published: 2019

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