魏天杰, 王有远. 基于博弈论组合赋权和可拓云模型的新能源汽车供应链韧性评价[J]. 南昌航空大学学报(社会科学版), 2025, 27(3): 92-102. DOI: 10.3969/j.issn.2096-8574.2025.03.011
引用本文: 魏天杰, 王有远. 基于博弈论组合赋权和可拓云模型的新能源汽车供应链韧性评价[J]. 南昌航空大学学报(社会科学版), 2025, 27(3): 92-102. DOI: 10.3969/j.issn.2096-8574.2025.03.011
Tianjie WEI, Youyuan WANG. Resilience Evaluation of New Energy Vehicle Supply Chain Based on Game Theory Combination Weighting and Extension Cloud Model[J]. JOURNAL OF NANCHANG HANGKONG UNIVERSITY(SOCLAL SCIENCES), 2025, 27(3): 92-102. DOI: 10.3969/j.issn.2096-8574.2025.03.011
Citation: Tianjie WEI, Youyuan WANG. Resilience Evaluation of New Energy Vehicle Supply Chain Based on Game Theory Combination Weighting and Extension Cloud Model[J]. JOURNAL OF NANCHANG HANGKONG UNIVERSITY(SOCLAL SCIENCES), 2025, 27(3): 92-102. DOI: 10.3969/j.issn.2096-8574.2025.03.011

基于博弈论组合赋权和可拓云模型的新能源汽车供应链韧性评价

Resilience Evaluation of New Energy Vehicle Supply Chain Based on Game Theory Combination Weighting and Extension Cloud Model

  • 摘要: 新能源汽车供应链韧性是应对复杂风险挑战、保障产业链稳定可持续的关键支撑。新能源汽车供应链韧性评价指标体系构建以韧性理论和动态能力理论为基础,包含抵抗防御能力、适应恢复能力、学习转化能力、可持续发展能力和全球化能力5个维度。指标权重确定采用博弈论组合赋权方式,将梯形模糊层次分析法与改进Critic法相结合,获得最优组合权重。新能源汽车供应链韧性利用可拓云模型进行评价。研究结果表明:新能源汽车供应链韧性总体评价为“较高韧性”,多数一级指标处于“较高韧性”,全球化能力表现为“中等韧性”。二级指标方面,供应链数字化水平和区域产能替代能力为“高韧性”,地缘政治敏感性、伦理治理机制成熟度和全球资源战略控制力为“中等韧性”,危机外交调解能力为“较低韧性”。该评价结果符合客观事实,可为提升新能源汽车供应链韧性水平提供决策参考。

     

    Abstract: The resilience of new energy vehicle (NEV) supply chain serves as a critical pillar for addressing complex risks and challenges while ensuring the stability and sustainability of the industrial chain. The evaluation framework for NEV supply chain resilience was constructed based on resilience theory and dynamic capability theory, encompassing five dimensions: resistance and defense capability, adaptation and recovery capability, learning and transformation capability, sustainable development capability, and globalization capability. Indicator weights were determined using a game theory combination weighting method. This approach integrated trapezoidal fuzzy AHP with an improved Critic method to obtain optimal combined weights. The resilience of NEV supply chain was evaluated using the extension cloud model. Findings indicated that the overall resilience of NEV supply chain was rated as “relatively high resilience”. Most primary indicators demonstrated “relatively high resilience”, while globalization capability exhibited “medium resilience”. Regarding secondary indicators, supply chain digitalization level and regional production capacity substitution capability were rated as “high resilience”. Geopolitical sensitivity, maturity of ethical governance mechanisms, and global resource strategic control exhibited “medium resilience”. Crisis diplomatic mediation capability demonstrated “low resilience”. This evaluation aligns with practical situations and provides decision-making references for enhancing the resilience of NEV supply chains.

     

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