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Closed-loop supply chain models with considering the environmental impact
Amir Mohajeri1, Mohammad Fallah2
1Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran 14778 93855, Iran.
This study integrates green supply chain management using a closed-loop logistics model to balance profitability and environmental goals. It aims to reduce CO2 emissions while optimizing costs and service levels in logistics planning.
Area of Science:
- Environmental Science
- Operations Research
- Logistics Management
Background:
- Growing global concern over climate change and greenhouse gas emissions.
- Increased focus on green supply chain management (GSCM) in the last decade.
- Need to integrate environmental considerations into traditional logistics systems.
Purpose of the Study:
- To develop a comprehensive closed-loop logistics model for GSCM.
- To balance economic objectives (profitability, cost reduction, service level) with ecological goals (CO2 emission reduction).
- To analyze the impact of regulations on transportation choices and emissions.
Main Methods:
- Application of a closed-loop logistics concept (recycling, reuse, recovery).
- Formulation of a comprehensive closed-loop model for logistics planning.
- Development and analysis of three scenarios with varying regulations.
- Numerical experiments and comparative analysis for model validation.
Main Results:
- The closed-loop model successfully integrates environmental and economic objectives.
- Demonstrated reduction in CO2 emissions through optimized logistics planning.
- Analysis of how different regulations influence transport mode selection and overall emissions.
- Validation of the model's effectiveness through numerical experiments.
Conclusions:
- Closed-loop logistics is an effective strategy for achieving sustainable supply chain management.
- The model provides a framework for optimizing logistics to meet both profitability and environmental targets.
- Regulatory frameworks can significantly influence the environmental performance of supply chains.
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