Holistic multi-criteria performance measurement system for the maintenance function
Mehdi Amine Naji and
Ahmed Mousrij
Journal of the Operational Research Society, 2023, vol. 74, issue 8, 1910-1924
Abstract:
Due to market globalization and technological development, companies are focusing more than ever on the performance of their maintenance function, which can only be achieved through a good performance measurement system. Although numerous works have been realized on this issue, there is still a lack of a flexible system that considers the particularities of each company and deals with all the performance measurement issues. For this reason, this paper introduces a maintenance performance measurement system, which allows the identification of all the relevant performance indicators using a hierarchical decomposition approach. Subsequently, the elementary performance indicators will be quantified using a measurement approach based on the fuzzy set theory, which deals with the unavailability and unreliability of data as well as time and resources limitation. Finally, an aggregation method based on the MACBETH method combined with the 2-additive Choquet integral was used in order to measure the global maintenance performance while considering the mutual interactions between the different criteria. Finally, to illustrate all these steps, the proposed system has been applied in a large Moroccan company operating in the chemical transformation sector.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2022.2118635 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:74:y:2023:i:8:p:1910-1924
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2022.2118635
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().