What are the key determinants of maintenance performance?

Soroush Avakh Darestani, Mandana Ganji, Rana Imannezhad

Research output: Contribution to journalArticle

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Abstract

Paper aims: The main objective of the research is to present a combination of fuzzy decision-making techniques to
measure the performance of preventive maintenance systems.
Originality: This research is a timely response to studying the prominent role of preventive maintenance performance in
reducing cost, profitability, and overall organization’s output.
Research method: This study considers the application of “fuzzy DEMATEL” and ANP techniques for measuring maintenance
performance and determining the causal relationships between the criteria and sub-criteria.
Main findings: It is conjectured that functional and technical criteria, along that with individual and the environmental
are of great importance. Among the sub-criteria, employee satisfaction, growth and learning, availability of machinery
and equipment, quality of maintenance by the skilled and highly-trained workforce, deem to be the most important ones.
Implications for theory and practice: The application of the decision techniques and the proposed measurement model
for continuous improvement and promotion of maintenance performance.
Original languageEnglish
Article numbere20190155
Number of pages19
JournalProduction
Volume30
DOIs
Publication statusPublished - 2020

Bibliographical note

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

  • Maintenance
  • PM Performance Measurement
  • Fuzzy DEMATEL Technique
  • Fuzzy Network Analysis (ANP), Multi-criteria Decision Making

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