Digital Twins for Supply Chains: Main Functions, Existing Applications, and Research Opportunities.

Giovanni Lugaresi,Zied Jemaï,Evren Sahin

Winter Simulation Conference(2023)

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摘要
In recent times, manufacturing industries and their related supply chains have faced growing internal and external pressures. Due to the complex nature of global supply chain networks and the increased frequency of disruptive events, there is a pressing need to implement digital tools to support these industries. Digital twins have gained significant interest from industry and research communities due to their ability to provide valuable services in the short term. While there have been many contributions on digital twin-based methodologies for system design and production planning and control, the use of digital twins in supply chain management still needs to be improved. This paper presents an overview of the existing contributions on digital twins for supply chains. Starting from a preliminary literature review on the topic, relevant works are selected and used to identify insights on the current development level and future research opportunities.
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关键词
Supply Chain,Research Opportunities,Digital Twin,Literature Review,Supply Chain Management,Supply Chain Network,Risk Management,Supply And Demand,Physical System,Value Chain,Decision Support System,Material Flow,Customer Relationship Management,Computational Capabilities,Inventory Level,Supply Chain Performance,Entire Supply Chain,Discrete Event Simulation,Enterprise Resource Planning,Supply Chain Operations,Simulation Engine,Potential Bottlenecks,Supply Chain Processes,Supply Chain Resilience,Improve Supply Chain,Supply Chain Risk,Real-time Data,Scopus Databases,Cloud Computing,Enterprise Systems
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