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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Bi-objective inventory allocation planning problem with supplier selection and carbon trading under uncertainty
Kai Kang1, Wei Pu1, Yanfang Ma1
1School of Economics and Management, Hebei University of Technology, Tianjin, P. R. China.
Plos One
|November 29, 2018
Summary
This study introduces a bi-objective inventory model integrating supplier selection and carbon trading to balance economic and environmental impacts. It demonstrates how carbon pricing influences inventory decisions under uncertainty.
Area of Science:
- Operations Research
- Environmental Management
- Supply Chain Management
Background:
- Growing concern over businesses prioritizing economic gains over environmental and social impacts.
- Need for integrated models addressing both economic efficiency and ecological footprint in supply chains.
Purpose of the Study:
- To investigate a bi-objective inventory allocation planning problem incorporating supplier selection and carbon trading under uncertainty.
- To analyze the impact of carbon emissions costs on overall inventory network costs.
Main Methods:
- Development of a novel bi-objective model using normalized normal constraint method.
- Application of differential evolution algorithm and uncertainty simulation for complex problem-solving.
- Generation of Pareto frontier to illustrate trade-offs between economic and environmental objectives.
Main Results:
- Demonstration of model effectiveness and practicability through a representative case study.
- Analysis of how carbon cap and carbon credit price influence environmental objectives in inventory networks.
- Validation of the proposed method against exact solutions for large-scale problems.
Conclusions:
- The study provides a robust framework for sustainable inventory management by integrating economic and environmental considerations.
- The model offers valuable insights for businesses navigating carbon regulations and seeking to minimize their ecological impact.
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