A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry

Thi-Ly Nguyen, Phi-Hung Nguyen, Hong-Anh Pham, Thi-Giang Nguyen, Duc-Thinh Nguyen, Thi-Hoai Tran, Hong-Cham Le and Huong-Thuy Phung
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Thi-Ly Nguyen: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Phi-Hung Nguyen: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Hong-Anh Pham: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Thi-Giang Nguyen: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Duc-Thinh Nguyen: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Thi-Hoai Tran: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Hong-Cham Le: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam
Huong-Thuy Phung: Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam

Mathematics, 2022, vol. 10, issue 11, 1-28

Abstract: Supply chain sustainability, which takes environmental, economic, and social factors into account, was recently recognized as a critical component of the supply chain (SC) management evaluation process and known as a multi-criteria decision-making problem (MCDM) that is heavily influenced by the decision-makers. While some criteria can be analyzed numerically, a large number of qualitative criteria require expert review in linguistic terms. This study proposes an integration of Data Envelopment Analysis (DEA), spherical fuzzy analytic hierarchy process (SF-AHP), and spherical fuzzy weighted aggregated sum product assessment (SF-WASPAS) to identify a sustainable supplier for the steel manufacturing industry in Vietnam. In this study, both quantitative and qualitative factors are considered through a comprehensive literature review and expert interviews. The first step employs DEA to validate high-efficiency suppliers based on a variety of quantifiable criteria. The second step evaluates these suppliers further on qualitative criteria, such as economic, environmental, and social factors. The SF-AHP was applied to obtain the criteria’s significance, whereas the SF-WASPAS was adopted to identify sustainable suppliers. The sensitivity analysis and comparative results demonstrate that the decision framework is feasible and robust. The findings of this study can assist steel industry executives in resolving the macrolevel supplier selection problem. Moreover, the proposed method can assist managers in selecting and evaluating suppliers more successfully in other industries.

Keywords: sustainability; supplier selection; MCDM; spherical fuzzy; DEA; SF-AHP; SF-WASPAS; steel industry; Vietnam (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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