供应链
业务
过程管理
背景(考古学)
供应链管理
绿色物流
公司治理
产业组织
服务(商务)
高效能源利用
大数据
服务管理
环境经济学
绿色计算
持续性
人道主义后勤
逆向物流
物联网
综合后勤保障
可持续能源
碳足迹
系统工程
可持续发展
可持续设计
运营管理
可持续管理
能源管理
计算机科学
云计算
纵向一体化
工业4.0
数字化转型
知识管理
数据管理
摘要
In the context of Industry 5.0 and global decarbonization, this paper examines how Digital Twin (DT) technology restructures Supply Chain Management toward Green Logistics and Sustainable Supply Chain Management. Framed by the Resource-Based View, Dynamic Capabilities, and socio-technical systems theory, DTs are conceptualized not as static simulation tools but as strategic cyber-physical assets that reconcile efficiency with environmental performance. We analyze how high-fidelity virtual replicas, fed by IoT and 5G, enable real-time carbon monitoring, support circular reverse logistics, and facilitate multi-objective optimization of cost, service and emissions through advanced algorithmic models. The paper clarifies architectural requirements for “green” DTs and distinguishes their role from blockchain in ensuring data integrity. Drawing on cases from DHL, JD Logistics, IKEA and Microsoft, we show that DT integration lowers energy intensity, strengthens climate resilience, and generates auditable ESG data, and we outline an implementation roadmap addressing interoperability, data governance and the digital divide.
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