What are the key determinants of maintenance performance?

Soroush Avakh Darestani, Mandana Ganji, Rana Imannezhad

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)
    122 Downloads (Pure)

    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
    Pages (from-to)1-16
    Number of pages16
    JournalProduction
    Volume30
    Early online date19 Oct 2020
    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

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

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

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