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RETRACTED ARTICLE: A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem
Parisa Rafigh1, Ali Akbar Akbari2, Hadi Mohammadi Bidhendi1
1Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
This study introduces a cooperative game theory model for green supplier selection, incorporating fuzzy logic. Horizontal cooperation in logistics networks reduces costs and benefits companies, optimizing total logistic expenses.
Area of Science:
- Operations Research
- Environmental Management
- Supply Chain Management
Background:
- Multi-criterion decision-making is crucial for supplier selection.
- Green supplier selection integrates environmental considerations into procurement.
- Reverse logistics, eco-design, and circular economy principles are vital for industries.
Purpose of the Study:
- To develop a cooperative green supplier selection model using game theory.
- To incorporate green manufacturing, transportation, and procurement criteria.
- To address uncertainty and fuzzy environments in decision-making.
Main Methods:
- A cooperative game theory approach is applied.
- An optimization model is developed to handle uncertainty.
- A fuzzy rule-based (FRB) system with IF-THEN rules is deployed.
Main Results:
- Horizontal cooperation in logistics reduces overall costs and emissions.
- Fuzzy rule-based systems offer a novel approach to green supplier selection.
- Sensitivity analysis confirms cost savings and benefits from cooperation.
Conclusions:
- Cooperative game theory optimizes logistic networks for green supplier selection.
- Horizontal cooperation leads to increased cost savings for companies.
- The proposed FRB model provides an effective framework for sustainable supply chains.
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