WCSE 2022 Spring
ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.153

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

Liuyue Zhang, Ying Chen, Yuhang Wang, Zhi Li, Honggen Long, Yuze Chen

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.

Index Terms— energy supply chain, risk evaluation, two-stage method, BWM, linguistic value soft set

Zhang Liuyue
Business School of Sichuan University
Chen Ying
Business School of Sichuan University
Li Zhi
Business School of Sichuan University
Long Honggen
Business School of Sichuan University
Chen Yuze
Business School of Sichuan University

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Cite: Liuyue Zhang, Ying Chen, Yuhang Wang, Zhi Li, Honggen Long, Yuze Chen, " Energy Supply Chain Risk Evaluation Based on a Two-Stage Decision Making Approach, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 1329-1339, Sanya, China, April 15-18, 2022.