A Comprehensive Evaluation Model for Sustainable Supply Chain Capabilities in the Energy Sector

Mehdi Safaei, Khalid Yahya () and Saleh Al Dawsari ()
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Mehdi Safaei: Faculty of Economics, Administrative and Social Sciences, Logistics Management Department, Istanbul Gelisim University, Istanbul 34310, Turkey
Khalid Yahya: Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul 34310, Turkey
Saleh Al Dawsari: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK

Sustainability, 2024, vol. 16, issue 21, 1-25

Abstract: This study introduces a comprehensive model to evaluate multiple capabilities within the sustainable supply chain evaluation framework. The primary aim is to determine the significance of various capabilities in the context of sustainable supply chains. The research involved a sample of sixteen companies operating in Iran’s energy sector. The findings indicate that the majority of these companies are at level two in terms of capability. Therefore, it is recommended that these companies employ this model to assess their capability levels and identify any existing gaps. Methodologically, a checklist tool was used to refine the criteria using the fuzzy Delphi method. Subsequently, an appropriate model was chosen and developed by reviewing existing evaluation models. The criteria were compared and finalized using the Analytic Hierarchy Process. Finally, the criteria were further refined and validated through a fuzzy expert system, incorporating Adaptive Neuro-Fuzzy Inference System and Fuzzy Inference System. The developed model was then simulated and validated using MATLAB Simulink software (R2017b).

Keywords: sustainable supply chain; capability evaluation; fuzzy expert system; simulation; energy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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