A Hybrid Grey Decision Methodology in Social Sustainable Supplier Selection

Hadi Nasseri, Han-Kwang Chen, Kuang-Zong Huo and Yen-Fen Lo ()
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Hadi Nasseri: Department of Mathematics, University of Mazandaran, Babolsar 4741613534, Iran
Han-Kwang Chen: Department of Applied Foreign Languages, JinWen University of Science & Technology, New Taipei City 231, Taiwan
Kuang-Zong Huo: Department of Business Administration, China University of Technology, Taipei 116, Taiwan
Yen-Fen Lo: Department of Business Administration, Shih Chien University, Taipei 104, Taiwan

Sustainability, 2023, vol. 15, issue 15, 1-24

Abstract: In the past decade, sustainable supply chain management has received much attention from practitioners and academics due to the heightened emphasis on environmental, economic, and social sustainability by customers, for-profit and non-profit institutions, community organizations, legislation, and government oversight. Evaluating and selecting a suitable supplier is considered a critical choice, crucial in supply chain management. Social sustainability in the supplier selection process is an important factor that has not received sufficient attention from academicians. Social and societal challenges are increasingly impacting supply chains. To tackle this challenge in the agricultural section of nations with emerging economies, this study proposed a new methodology using Grey FUCOM (Full Consistency Method) and Gray PROMTHEE (Preference Ranking Organization Method for Enrichment Evaluation) methods for evaluating the social sustainability of wheat and barley seed production companies. This study assists seed users in identifying the most significant supplier selection criteria and one of the most effective suppliers for ecological sustainability throughout the supply chain while maintaining market competitiveness. The results demonstrated a consistent and dependable rating behavior about the weight coefficients of the criteria. Improving the procedures used to evaluate wheat and barley seed suppliers results in a healthier society. So, the proposed model can efficiently evaluate a critical component of the food supply chain in the early stages.

Keywords: social sustainability; supplier evaluation; grey numbers; FUCOM; PROMTHEE II; agricultural supply chain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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