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Research on the Application of Digital Twin Technology in Full-Process Visualization and Collaborative Optimization of Supply Chains
  • ISSN:3041-0843(Online) 3041-0797(Print)
  • DOI:10.69979/3041-0843.25.04.068
  • 出版频率:Quarterly Publication
  • 语言:English
  • 收录数据库:ISSN:https://portal.issn.org/ 中国知网:https://scholar.cnki.net/journal/search

Research on the Application of Digital Twin Technology in Full-Process Visualization and Collaborative Optimization of Supply Chains
Zhangran

ShijiazhuangHebei‌Hebei Vocational College Of Geology050000

Abstract:As the complexity of global supply chain networks keeps rising, traditional supply chain management models encounter a host of challenges in aspects like dynamic response, process transparency, and resource coordination. Digital Twin technology, a simulation technology that combines multi-physical domains, multi-scales, and multi-probabilities, is capable of attaining real-time perception, dynamic monitoring, and intelligent optimization of the whole supply chain process. It does this by creating a virtual representation of physical entities. This paper initially expounds on the core concepts and technical framework of Digital Twin technology. Subsequently, commencing from the five key links within the supply chain—procurement, production, warehousing, logistics, and sales—it conducts a systematic analysis of the application routes of Digital Twin technology in full-process visualization. Moreover, it delves into its collaborative optimization mechanisms in fields such as resource allocation, risk early warning, and collaborative decision-making. Ultimately, it sums up the major challenges currently confronted in applying Digital Twin technology to supply chain management and presents a vision for future development trends. This provides theoretical references and practical perspectives for the digital transformation of supply chains.

Keywords: Supply Chain Management; Full-Process Visualization; Digital Transformation

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