A Stratified Fuzzy Decision-Making Approach for Sustainable Circular Supplier Selection

Ecer F., Torkayesh A. E.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, cilt.71, ss.1130-1144, 2024 (SCI-Expanded, SSCI, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 71
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1109/tem.2022.3151491
  • Dergi Adı: IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Public Affairs Index, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1130-1144
  • Anahtar Kelimeler: Circular economy, concept of stratification (CST), full consistency method (FUCOM), fuzzy logic, mixed aggregation by comprehensive normalization technique (MACONT), sustain able circular supplier selection (SCSS), CRITERIA, MANAGEMENT, TRANSITION, FRAMEWORK, ECONOMY, TOPSIS
  • Kocaeli Üniversitesi Adresli: Hayır

Özet

Circular economy has attracted great attention as it meets environmental and social requirements. Selecting appropriate suppliers considering circular, and sustainability aspects for all industries is of great significance. However, addressing sustainable circular supplier selection (SCSS) problems is a difficult task due to the uncertainty in real-life cases in terms of possible future events and experts' judgments. This article aims to address the SCSS problem considering the impacts of possible future events via a multiple-criteria decision-making framework. For this purpose, stratification theory is utilized to develop and practice a novel framework called stratified fuzzy full consistency method to identify the optimal weight coefficients of criteria considering the possible impacts of future events. Later, a novel extension of mixed aggregation by comprehensive normalization technique under fuzzy environment is developed to prioritize suppliers with respect to sustainability and circular economy criteria. To prove the practicability of the developed methodology, outcomes of a real case study related to a textile company in Turkey are presented. Furthermore, sensitivity analyses and a comparative analysis are conducted to illustrate the proposed model's performance under different conditions. According to the results, information disclosure, interests and rights of employees, and child labor are identified as top three criteria with values of 0.1112, 0.1102, and 0.1110, respectively.