计算机科学
电池(电)
电动汽车
供应链
再制造
大数据
生产(经济)
电池组
供应链网络
循环经济
持续性
电动汽车蓄电池
物联网
供应链管理
运筹学
制造工程
嵌入式系统
数据挖掘
业务
生态学
功率(物理)
物理
宏观经济学
营销
量子力学
生物
经济
工程类
作者
Madjid Tavana,Maryam Sohrabi,Hamid Rezaei,Shahryar Sorooshian,Hassan Mina
摘要
Abstract Designing and developing sustainable circular supply chain networks for electric vehicle (EV) lithium‐ion battery recycling and production requires complex environmental sustainability and economic viability assessment. EVs use a lot of data for battery management and delivering optimum performance, and the Internet of Things (IoT) plays a major role in managing this data. This study develops a bi‐objective mixed‐integer linear programming model for designing a sustainable circular supply chain to manage the manufacturing, remanufacturing, and distribution of EV lithium‐ion batteries under uncertainty using the IoT and big data. The proposed model simultaneously minimizes total costs and CO 2 emissions and uses IoT to improve network performance and create a traceable and secure environment. A fuzzy multi‐objective method solves the bi‐objective optimization model under uncertainty, and a simulation algorithm examines the effectiveness of the proposed model through simulated problems.
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