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Journal article
Risk Assessment on Green Supply Chains in Manufacturing
The Journal of computer information systems, Vol.65(5), pp.580-591
2025
Web of Science ID: WOS:001159725400001
Abstract
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.
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Details
- Title
- Risk Assessment on Green Supply Chains in Manufacturing
- Publication Details
- The Journal of computer information systems, Vol.65(5), pp.580-591
- Resource Type
- Journal article
- Publisher
- Taylor & Francis
- Number of pages
- 12
- Grant note
- 22HQZZ602Z / Key social science planning projects in Zhejiang Province
- Copyright
- Rights managed by Taylor & Francis
- Identifiers
- WOS:001159725400001; 99380503297206600
- Academic Unit
- Business Administration; Lewis Bear Jr. College of Business
- Language
- English