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

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).

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Publication Details

Journal
Sustainability
Published
2024-10-22
DOI
https://doi.org/10.3390/su16219171
Citations
1
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
0.35
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article

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

Khalid A. Yahya, Mehdi Safaei, Saleh Al Dawsari
1 citations
Sustainability
Sustainable Industrial Ecology
0.35
article

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

Khalid A. Yahya, Mehdi Safaei, Saleh Al Dawsari
article en
1 citations

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).

SustainabilityVol. 16(21)
İstanbul Gelişim Üniversitesi (TR), Najran University (SA), Cardiff University (GB)
Responsible consumption and production
Openalex Percentile: Top 35%
Sustainable Industrial Ecology
0.35
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