A Systematic Literature Review on Digital Twins in Circular Supply Chain Management
这篇综述梳理了2000至2024年间109篇同行评审文章，归纳出数字孪生在循环供应链中的六大研究主题和86种理论，为从业者和政策制定者提升供应链可持续性与数字化转型提供参考。
ABSTRACT This study presents a systematic literature review exploring the role of Digital Twins (DTs) in Circular Supply Chain Management (CSCM). Employing a structured methodology based on the PRISMA protocol and analyzed through the Theory, Context, Characteristics, and Method (TCCM) framework, the review synthesizes 109 peer‐reviewed articles published between 2000 and 2024. Using bibliographic coupling, the research identifies six thematic clusters: (1) Integration of DT in Supply Chain; (2) DT and Industry 4.0; (3) Big Data, AI, and Circular Economy; (4) Risk Management and Supply Chain Resilience; (5) Additive Manufacturing and Spare Parts Logistics; and (6) Metaverse and Smart Factory Operations. Additionally, the study categorizes 86 unique theories applied in the DT‐CSCM literature, with Resource‐Based Theory, Complexity Theory, and Control Theory among the most cited. Key contributions include clarifying the intellectual structure of DT‐CSCM research, highlighting emerging research directions, and offering practical recommendations for industry practitioners and policymakers seeking to enhance supply chain sustainability and digital transformation. These deeply meaningful findings considerably improve our comprehension of the rapid pace of technological improvement in DT and its significant implications for the development of resilient, sustainable supply chains.