煤
供应链
支持向量机
主成分分析
火力发电站
供应商评价
计算机科学
碳足迹
索引(排版)
功率(物理)
工艺工程
运筹学
环境经济学
数学优化
供应链管理
工程类
温室气体
业务
人工智能
数学
废物管理
经济
营销
生态学
物理
量子力学
生物
万维网
作者
Qian Zhang,Hai Shen,Yuanyuan Huo
摘要
A thermal power supply chain differs from other supply chains in terms of supplier selection, materials transportation, products marketing, and so on. Therefore, the green coal supplier evaluation model has its own characteristics. Although many methods have been developed to solve the green supplier evaluation problem, little is known about how to evaluate the green coal supplier in the thermal power supply chain. To overcome this drawback, an evaluation index system for the green coal supplier is established, and new indexes such as price based on calorific value, quality indexes based on the designed coal type, and transportation indexes such as transportation carbon footprint and environment indexes are created according to the characteristic of the thermal power supply chain. Then, principal component analysis (PCA) is used to create the main evaluation indexes, and the support vector machine (SVM) is adopted for the evaluation model. Finally, a practical example is applied to show that the model established in this paper outperforms others in evaluation accuracy.
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