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Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach

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  • Małgorzata Jasiulewicz-Kaczmarek

    (Poznan University of Technology)

  • Patryk Żywica

    (Adam Mickiewicz University)

  • Arkadiusz Gola

    (Lublin University of Technology)

Abstract

During the last five decades, manufacturing has radically changed not only due to the technology development but also because of the new market and environmental requirements. Nowadays, companies are focused not only on cost-reduction and effectiveness or realized processes but also on reducing the negative impact on natural and social environment. Therefore, the maintenance is also transforming its role in order to better support value creation, both contributing to the economic dimension as well as extending its care for the environmental and social aspects. The paper presents a new method to solve the problem of the initial maintenance indicator merge into a new synthetic index that allows measuring the level of maintenance sustainability. The proposed approach allows to look at the process of combining indicators from a different perspective (i.e. through interactions between criteria) to help decision-makers in improving economic, social and environmental results of maintenance system. To justify effectiveness of proposed approach, it was applied to Composite Maintenance Sustainability Indicator, which was therefore generalized and expanded, so that it could be used in decision support system. The included case study shows the real benefit of using the proposed approach to analyse the actual results of maintenance system from sustainability point of view and forecasting future actions.

Suggested Citation

  • Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:5:d:10.1007_s10845-020-01734-3
    DOI: 10.1007/s10845-020-01734-3
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Thirupathi Samala & Vijaya Kumar Manupati & Maria Leonilde R. Varela & Goran Putnik, 2021. "Investigation of Degradation and Upgradation Models for Flexible Unit Systems: A Systematic Literature Review," Future Internet, MDPI, vol. 13(3), pages 1-18, February.
    4. 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.
    5. Justyna Patals-Maliszewska & Hanna Losyk1, 2021. "Improving the Level of Sustainable Development in Industry 4.0 Context: A New Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 75-84.
    6. Hien Nguyen Ngoc & Ganix Lasa & Ion Iriarte, 2022. "Human-centred design in industry 4.0: case study review and opportunities for future research," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 35-76, January.
    7. Amir Hossein Azadnia & Simon Stephens & Pezhman Ghadimi & George Onofrei, 2022. "A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2437-2455, July.

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