Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation

Yunna Wu, Weibing Jia, Lingwenying Li, Zixin Song, Chuanbo Xu and Fangtong Liu

Energy, 2019, vol. 182, issue C, 397-411

Abstract: In recent years, electric vehicles have witnessed rapid development. However, with the characteristic of numerous complexity links, there are many uncertainties exist in the supply chain which will cause high risks to the electric vehicles. Thus, carrying out a risk assessment is essential for the supply chain. The purpose of this paper is to identify and assess the potential risk factors for China's electric vehicle supply chain under uncertain circumstance. Firstly, this paper establishes a risk assessment index system for electric vehicle supply chain, which consists of three aspects and associated 15 indexes. Secondly, a combined hesitant fuzzy linguistic term set with fuzzy synthetic evaluation is developed. Thirdly, the risk assessment on China's electric vehicle supply chain is conducted. The results show that the risk level of the electric vehicle supply chains in China is between “general” and “high”. And the technical aspect and market aspect should be noted, mainly involving the information sharing risk and the assembly line setting risk. This paper can help managers of electric vehicle supply chain not only identify potential risks but also develop appropriate risk prevention measures.

Keywords: Electric vehicle; Supply chain; Risk assessment; Hesitant fuzzy linguistic term set; Fuzzy synthetic evaluation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:182:y:2019:i:c:p:397-411

DOI: 10.1016/j.energy.2019.06.007

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