Research on Green Supply Chain Performance Evaluation of Manufacturing Enterprises

Abstract

This study addresses the environmental and resource challenges by constructing a green supply chain performance evaluation index system for a Chinese manufacturing enterprise (Company M). Based on the balanced scorecard theory and relevant literature, the system includes five first-level indicators (financial value, customer service, supply chain process, development and innovation, low-carbon environmental protection) and 21 second-level indicators. The entropy weight method and grey relational analysis are applied to evaluate Company M’s green supply chain performance from 2013 to 2021. Results show that the performance fluctuates but generally improves, indicating potential for further enhancement. Relevant suggestions are proposed to optimize Company M’s green supply chain performance.