Dual Evaluation Indicators for Sustainable Suppliers

Wen-Pai Wang () and Yung-Hsiang Hung
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Wen-Pai Wang: Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan
Yung-Hsiang Hung: Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan

Sustainability, 2025, vol. 17, issue 7, 1-17

Abstract: This study establishes a comprehensive framework for evaluating sustainability by integrating radar chart analysis with fuzzy linguistic methods, helping enterprises select suppliers that align with sustainable development principles. Testing within the textile industry confirmed the framework’s reliability, effectively identifying strengths and areas for improvement across key sustainability dimensions: environmental, social, economic, and governance. The analysis highlighted strong supplier performance in governance and social responsibility, particularly in human rights protection, while emphasizing the need for improvements in environmental aspects such as water resource management and product recycling. Economic factors, including product quality and delivery capability, demonstrated significant potential, though cost efficiency remained a challenge. Recommendations focus on enhancing board diversity, employee satisfaction, and circular economy initiatives. The framework demonstrates strong applicability within the textile industry and has the potential for adaptation in other sectors. Future research should conduct industry-specific validations to refine weight allocation for dynamic markets.

Keywords: sustainability; supplier evaluation; radar chart analysis; 2-tuple representation; fuzzy linguistic computing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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