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Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
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Green Procurement Relationships Development under Carbon Emissions Regulations: A Bi-Level Programming Approach.
Xiao-Ying Bao1, Lei Zhang2,3
1College of Management Science, Chengdu University of Technology, Chengdu 610059, China. baoxiaoying205@163.com.
International Journal of Environmental Research and Public Health
|October 11, 2018
Summary
Manufacturers prefer multiple suppliers for flexibility in green supply chains. Stable supplies and large orders reduce supplier carbon emissions, promoting a greener supply chain.
Area of Science:
- Operations Research
- Supply Chain Management
- Environmental Economics
Background:
- Green procurement is crucial for sustainable supply chains.
- Manufacturers face challenges in selecting suppliers and managing raw material sourcing.
- Carbon taxes incentivize emission reductions in industrial operations.
Purpose of the Study:
- To model a green procurement relationship between manufacturers and suppliers using a Stackelberg game.
- To develop a bi-level programming model incorporating a carbon tax scheme.
- To analyze the impact of sourcing strategies on operational costs and carbon emissions.
Main Methods:
- A multi-period Stackelberg game framework was employed.
- A mixed binary linear bi-level programming model was formulated.
- Two lemmas were utilized to simplify the model into a single-level linear program.
Main Results:
- Manufacturers favor multiple sourcing strategies for enhanced flexibility.
- Suppliers benefit from stable supplies and large order volumes, leading to reduced carbon emissions.
- The model provides insights into optimizing green procurement under a carbon tax.
Conclusions:
- Multiple sourcing enhances supply chain resilience and cost-efficiency.
- Collaborative strategies between manufacturers and suppliers can significantly reduce the environmental impact of supply chains.
- The study demonstrates a viable approach for greener supply chain management.
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