Research on Green Supplier Selection Method Based on Improved AHP-FMEA

The increasing demand for sustainable business practices has highlighted the need for a robust and risk-aware green supplier selection framework. Traditional supplier evaluation methods primarily focus on cost, quality, and delivery performance but often fail to incorporate sustainability and risk f...

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Bibliographic Details
Published inSustainability Vol. 17; no. 7; p. 3018
Main Authors Chen, Haopeng, Wang, Huihui
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2025
Subjects
Carbon footprint
Case studies
Decision making
Efficiency
Emission standards
Energy consumption
Entropy
Environmental aspects
Environmental impact
Environmental regulations
Environmental stewardship
Evaluation
Failure mode and effects analysis
Industrial suppliers
ISO standards
Literature reviews
Logistics
Methods
Multiple criteria decision making
Risk assessment
Risk factors
Suppliers
Supply chains
Sustainability
Sustainable development
China
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ISSN2071-1050
2071-1050
DOI10.3390/su17073018

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Summary:The increasing demand for sustainable business practices has highlighted the need for a robust and risk-aware green supplier selection framework. Traditional supplier evaluation methods primarily focus on cost, quality, and delivery performance but often fail to incorporate sustainability and risk factors effectively. This study proposes an improved AHP-FMEA method that integrates the Analytic Hierarchy Process (AHP), entropy weight method, and Failure Mode and Effects Analysis (FMEA) to enhance decision-making in green supplier selection. The AHP method determines subjective criteria weights, while the entropy method adjusts these weights objectively to reduce bias. The FMEA approach incorporates risk assessment by identifying and quantifying potential supplier failures, ensuring a more comprehensive evaluation. A case study is conducted to validate the proposed model, comparing it with classical AHP and AHP-Entropy methods. The results show that incorporating risk factors significantly influences supplier ranking, demonstrating the model’s ability to provide a more scientific, objective, and risk-conscious evaluation. The proposed approach enhances the accuracy and reliability of green supplier selection, making it a valuable tool for sustainable supply chain management.
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ISSN:2071-1050
2071-1050
DOI:10.3390/su17073018