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

Seyed Amirali Hoseini, Alireza Fallahpour, Kuan Yew Wong, Amir Mahdiyar, Morteza Saberi and Serdar Durdyev
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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

Sustainability, 2021, vol. 13, issue 3, 1-19

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.

Keywords: sustainability; supplier selection; Fuzzy Best-Worst Method (FBWM); Fuzzy Inference System (FIS) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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