Risk Assessment on Green Supply Chains in Manufacturing

被引:1
|
作者
Wang, Weibin [1 ,2 ]
Ji, Jonah [3 ]
Liu, Caihong [1 ]
Wei, June [4 ,5 ]
机构
[1] Jiaxing Univ, Jiaxing, Peoples R China
[2] Zhejiang Univ Technol, Hangzhou, Peoples R China
[3] Univ Florida, Gainesville, FL USA
[4] Univ West Florida, Pensacola, FL 32514 USA
[5] Univ West Florida, Coll Arts Social Sci & Humanities, Dept Business Adm, Pensacola, FL 32514 USA
关键词
Green supply chain; fuzzy matter element; risk evaluation; back propagation neural network; MANAGEMENT; IMPLEMENTATION; BARRIERS;
D O I
10.1080/08874417.2024.2308210
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A green manufacturing supply chain can improve ecological environments and resource utilization in enterprises. The objective of this paper is to assess green supply chain (GSC) risks in manufacturing to help enterprises increase value. Specifically, based on theoretical analysis and literature review, the risk assessment model of green SC in manufacturing is put forward through questionnaire survey data and Principal Component Analysis. Furthermore, to improve the effectiveness of the risk assessment model obtained from Principal Component Analysis, principal component analysis-based Fuzzy Mature-Element (FME) method is used to form the risk assessment model for green SC in manufacturing. Finally, the FME model on manufacturing green SC risk assessment is tested through the simulation of BP neural network. Some findings present that the proposed risk evaluation system of manufacturing green SC is appropriate and the FME based comprehensive evaluation method is reasonable.
引用
收藏
页数:12
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