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Exploring the impacts and contributions of maintenance function for sustainable manufacturing

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  • Maria Holgado
  • Marco Macchi
  • Stephen Evans

Abstract

This investigation studies advanced practitioners of maintenance management and seeks to uncover the related impacts and contributions of best practice maintenance toward sustainable manufacturing operations. This exploratory research conducted a novel empirical analysis focused on maintenance functions in nine manufacturing companies from diverse sectors. The analysis uncovered insights related to the economic, environmental, and social benefits of deeper involvement of maintenance function in plant operations and decision-making. We observed links of maintenance function with product competitiveness and with energy management activities that were unexpected. We confirmed benefits from keeping machinery in good working conditions and restoring promptly good working conditions when an issue happens. The depth of maintenance contribution on each area identified in this study will depend on the operational and business context of the manufacturing company; thus, companies need to reflect on these based on their specific processes, business needs and goals. Ultimately, this work can inspire managers in manufacturing companies to organise maintenance functions strategically toward fostering long-term competitive, responsible and sustainable performance.

Suggested Citation

  • Maria Holgado & Marco Macchi & Stephen Evans, 2020. "Exploring the impacts and contributions of maintenance function for sustainable manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7292-7310, December.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:23:p:7292-7310
    DOI: 10.1080/00207543.2020.1808257
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    Citations

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    Cited by:

    1. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio & Wu, Shaomin, 2023. "Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Vrignat, Pascal & Kratz, Frédéric & Avila, Manuel, 2022. "Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    3. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    4. Miguel A. C. Michalski & Arthur H. A. Melani & Renan F. da Silva & Gilberto F. M. de Souza & Fernando H. Hamaji, 2021. "Fault Detection and Diagnosis Based on Unsupervised Machine Learning Methods: A Kaplan Turbine Case Study," Energies, MDPI, vol. 15(1), pages 1-20, December.
    5. Przemysław Drożyner & Stanisław Młynarski, 2022. "The Theory of Exploitation as a Support for Management Accounting in an Enterprise," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    6. Hamzeh Soltanali & Mehdi Khojastehpour & José Torres Farinha & José Edmundo de Almeida e Pais, 2021. "An Integrated Fuzzy Fault Tree Model with Bayesian Network-Based Maintenance Optimization of Complex Equipment in Automotive Manufacturing," Energies, MDPI, vol. 14(22), pages 1-21, November.

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