可持续供应链中电动汽车锂离子电池循环经济的优化

Mohsen Alizadeh Afroozi, Mohammad Gramifar, Babak Hazratifar, Mohammad Mahdi Keshvari, Seyed Behnam Razavian
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引用次数: 0

摘要

锂电池因其可充电性和高功率输出能力而成为电动汽车的关键部件。尽管这些电池具有优势,但它们面临着寿命方面的挑战,包括处理问题,以及缺乏可持续的供应链生态系统来满足日益增长的锂电池需求。解决这一问题的一个潜在解决方案是实施循环经济模式。本研究旨在利用汽车行业的综合灰色多标准决策方法,识别和评估优化锂离子电池循环经济中可持续供应链的主要障碍。本研究的新颖之处在于运用灰色可能性比较和灰色程度可能性来处理这些不确定性。通过整合灰色DEMATEL(决策试验与评估实验室)和灰色ANP(分析网络过程)方法,本研究为识别和分析障碍之间的相互关系提供了一个更灵活和适应性的框架。研究过程包括通过灰色德尔菲法对识别出的障碍进行验证,然后应用灰色DEMATEL建立障碍之间的因果关系。最后,使用灰色ANP对障碍进行权重分配,并将障碍划分为一级和二级类别。结果表明,“政策标准缺失”的重要性和影响最大,权重为0.101225。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimization of Lithium-Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

Optimization of Lithium-Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high-power output capabilities. Despite their advantageous features, these batteries encounter longevity challenges, posing disposal complications and an insufficient sustainable supply chain ecosystem to address the growing demand for lithium batteries. One potential solution to address this issue is the implementation of a circular economy model. This study aims to identify and assess the key barriers to optimizing a sustainable supply chain in the lithium-ion battery circular economy using an integrated Gray Multi-Criteria Decision Making approach within the automotive sector. The novelty of this research lies in its application of Gray Possibility Comparison and Gray Possibility of degree to address these uncertainties. By integrating Gray DEMATEL (Decision Making Trial and Evaluation Laboratory) and Gray ANP (Analytic Network Process) methods, this study offers a more flexible and adaptive framework for identifying and analyzing the interrelationships among barriers. The research process involves validating the identified barriers through the Gray Delphi method, followed by the application of Gray DEMATEL to establish the cause-effect relationships among the barriers. Finally, Gray ANP is used to assign weights and prioritize the barriers into primary and secondary categories. The results indicate that the barrier “Lack of supportive policies and standards” holds the highest importance and influence, with a weight of 0.101225.

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