z-logo
open-access-imgOpen Access
An Evaluation Model of Green Coal Supplier for Thermal Power Supply Chain Based on PCA-SVM
Author(s) -
Qian Zhang,
Hai Shen,
Yuanyuan Huo
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/8827273
Subject(s) - coal , supply chain , support vector machine , principal component analysis , thermal power station , supplier evaluation , computer science , carbon footprint , index (typography) , power (physics) , process engineering , operations research , environmental economics , mathematical optimization , supply chain management , engineering , greenhouse gas , business , artificial intelligence , mathematics , waste management , economics , marketing , ecology , physics , quantum mechanics , biology , world wide web
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom