Department of Engineering Management,Chongqing University, China.
Department of Engineering Management,Chongqing University, China.
J Environ Manage. 2022 Dec 15;324:116352. doi: 10.1016/j.jenvman.2022.116352. Epub 2022 Oct 5.
With the proposal of carbon neutralization, countries pay much more attention to environmental protection. As waste electric vehicle battery (WEVB) has an important impact on the environment, its reverse logistics process has been a vital issue, in which an excellent reverse logistics network (RLN) becomes a prerequisite for waste recycling, cost reduction, profit increasement and efficiency improvement. However, reverse logistics network design (RLND) for WEVBs is still a significant challenge. In general, the amount and quality of the returned product in a RLN are highly uncertain, and the WEVB market in China is no exception to this. From a circular economic and environmental perspective, this paper is devoted to designing a multi-participants-based RLN for WEVBs, considering recycling and remanufacturing processes. Then, a fuzzy optimization model is proposed to determine the number and location of facilities in this RLN, promote sustainable development, reduce environmental pollution, and consider carbon emissions and two types of WEVBs. Finally, the results from a case study in Chongqing show good performance in cost reduction, profit increasement and efficiency improvement, which could significantly support the decision-making of WEVBs recycling.
随着碳中和的提议，各国更加重视环境保护。由于废旧电动汽车电池（WEEB）对环境有重要影响，其逆向物流过程一直是一个重要问题，其中一个优秀的逆向物流网络（RLN）是废物回收、降低成本、增加利润和提高效率的前提。然而，WEEB 的逆向物流网络设计（RLND）仍然是一个重大挑战。一般来说，RLN 中返回产品的数量和质量具有高度不确定性，中国的 WEEB 市场也不例外。从循环经济和环境角度出发，本文致力于设计一个基于多方参与者的 WEEB 逆向物流网络，考虑回收和再制造过程。然后，提出了一个模糊优化模型来确定这个 RLN 中的设施数量和位置，促进可持续发展，减少环境污染，并考虑碳排放和两种类型的 WEEB。最后，来自重庆的案例研究结果表明在降低成本、增加利润和提高效率方面表现良好，这可以为 WEEB 回收的决策提供有力支持。
