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Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

Author

Listed:
  • Seyed Amirali Hoseini

    (Department of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, Iran)

  • Alireza Fallahpour

    (School of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia)

  • Kuan Yew Wong

    (School of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia)

  • Amir Mahdiyar

    (School of Housing, Building and Planning, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Morteza Saberi

    (School of Information, Systems and Modeling, University of Technology, Sydney, NSW 2007, Australia)

  • Serdar Durdyev

    (Department of Engineering and Architectural Studies, Ara Institute of Canterbury, Christchurch 8011, New Zealand)

Abstract

Due to increase in the public and stakeholders’ awareness regarding economic, environmental, and social issues, the construction industry tends to follow the sustainability policies and practices in supply chain management. Hence, one of the most crucial aspects for a construction company in this regard is sustainable supplier selection, and, to this end, an accurate and reliable model is required. In this paper a hybrid fuzzy best-worst method and fuzzy inference system model is developed for sustainable supplier selection. In the first phase of this study, after determining 19 criteria in three main aspects, the final weight of each aspect and criterion is obtained using fuzzy best-worst method approach. In the second phase, the most sustainable supplier is selected by running the weighted fuzzy inference system both in aspect and criterion level, providing more accurate results compared to the use of other available models. Finally, two different tests are employed to validate the results and evaluate the robustness of the proposed model. The novel developed model enables the decision-maker to simulate the decision-making process, reduce the calculations loads, consider a large number of criteria in decision making, and resolve the inherited uncertainties in experts’ responses.

Suggested Citation

  • Seyed Amirali Hoseini & Alireza Fallahpour & Kuan Yew Wong & Amir Mahdiyar & Morteza Saberi & Serdar Durdyev, 2021. "Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1413-:d:489440
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    References listed on IDEAS

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    Cited by:

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    3. Benedictus Rahardjo & Fu-Kwun Wang & Shih-Che Lo & Jia-Hong Chou, 2023. "A Hybrid Multi-Criteria Decision-Making Model Combining DANP with VIKOR for Sustainable Supplier Selection in Electronics Industry," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    4. Eslam Mohammed Abdelkader & Tarek Zayed & Hassan El Fathali & Ghasan Alfalah & Abobakr Al-Sakkaf & Osama Moselhi, 2023. "An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects," Mathematics, MDPI, vol. 11(16), pages 1-41, August.
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    6. Stefan Jovčić & Petr Průša, 2021. "A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection," Mathematics, MDPI, vol. 9(21), pages 1-19, October.

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