Energy Supply Chain Risk Evaluation based on a Two-Stage Decision Making Approach

Abstract

Energy has always been an important issue related to people's livelihood and economy. With the energy crisis continues to escalate, the problems exposed in the energy supply chain are becoming increasingly severe. Due to the uncertainty of the external environment and internal structure, the energy supply chain is vulnerable to various risks. This article takes three representative energy companies in China as examples and adopts a two-stage method to evaluate the risks of the energy supply chain. The first stage uses the best-worst method (BWM) to determine the weight of each risk factor, and the second stage uses the linguistic value soft set to evaluate the risk performance of energy companies, and finally obtains the ranking results of the energy supply chain of each company. The results show that none of the three companies have outstanding performance in environmental-related risks, and energy companies should pay more attention to the control of environmental risks. This research supplements the related research on energy supply chain risk in theory, and has guiding significance for practitioners in related industries.