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.

中文翻译：

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基于PCA-SVM的火电供应链绿色煤炭供应商评价模型

火电供应链在供应商选择、材料运输、产品营销等方面与其他供应链不同。因此，绿色煤炭供应商评价模型有其自身的特点。尽管已经开发了许多方法来解决绿色供应商评估问题，但对于如何评估火电供应链中的绿色煤炭供应商却知之甚少。针对这一弊端，建立了绿色煤炭供应商评价指标体系，创建了基于热值的价格、基于设计煤种的质量指标、交通碳足迹、环境指标等交通指标等新指标。根据火电供应链的特点。然后，采用主成分分析（PCA）创建主要评价指标，评价模型采用支持向量机（SVM）。最后，通过一个实际例子表明本文建立的模型在评估精度上优于其他模型。