A novel decision support framework for unveiling critical determinants in resilient–sustainable supply chain performance measurement


Yang Q., Wei S., Wang Z., Deveci M., DEMİR G.

Advanced Engineering Informatics, cilt.73, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 73
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.aei.2026.104540
  • Dergi Adı: Advanced Engineering Informatics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Extended decision-making trial and evaluation laboratory, Improved fuzzy analytic hierarchy process, Resilience, Supply chain performance, Sustainability, Two-tuple linguistic
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Rapid globalization and escalating market volatility have intensified supply chain complexities, necessitating an integrated performance measurement approach that simultaneously addresses resilience and sustainability. This study proposes a novel decision support framework combining an improved Fuzzy Analytic Hierarchy Process (FAHP) and an extended Two-Tuple Linguistic DEMATEL (2TL-DEMATEL) method to measure the resilient–sustainable supply chain performance and further identify critical determinants. First, a four-dimensional performance metric system is developed by integrating the Triple Bottom Line (TBL) and resilience metrics. Second, an improved FAHP with a mean-and-variance-based feedback adjustment mechanism is introduced to enhance consistency in expert weighting and fundamental metric weight determination. Third, an extended 2TL-DEMATEL incorporating similarity measurement is proposed to refine the characterization of interdependencies among metrics. Finally, the framework is validated through a case study of a Chinese electronics manufacturing enterprise. Results reveal that profitability, energy consumption, and process optimization are the most influential determinants. The cause-and-effect analysis further distinguishes between driving and outcome metrics, providing strategic prioritization guidance for managers. The framework offers a scientific tool for enterprises to balance resilience and sustainability and supports data-driven decision-making under uncertainty.