Risk analysis in the management of a green supply chain

In order to implement or maintain a green supply chain (GSC) that produces goods and services responsibly and sustainably, supply chain managers should use tools that allow for the efficient identification, quantification, and mitigation of the ever-present risks. The objective of the present research is to identify the risk factors associated with the processes involved in GSC management. Based on an analysis of the characteristics of GSC risk, the authors put forward a list of risk design principles and a risk criteria evaluation system for a GSC. Gray relation analysis method was then used to clarify the degree of connection between certain supply chain risk factors and select key risk factors. Finally, Back Propagation Artificial Neural Network (BP-ANN) method was used to determine the risk level associated with a GSC. The determination of risk level will help companies to develop effective strategic management initiatives in a GSC environment.