| Abstract (ENG): |
Global supply chains are experiencing unprecedented disruption, characterized by fundamental structural weaknesses exacerbated by recent global events. Further, despite progress in automation and IoT technology, supply chain networks continue to encounter obstacles, including fragmented data, ineffective communication among locations, and limited predictive capabilities. Moreover, conventional systems struggle to provide real-time insights, resulting in delays, disruptions, and inefficient resource utilization. Therefore, technology must enable firms to develop real-time decision-making solutions and the opportunity for coordination across multiple locations in the supply chain network to strengthen competitiveness and maintain continuity to realize performance gains. The digital twin technology enables dynamic adaptation, transparency, and continuous optimization by generating virtual representations of supply chain assets, processes, and logistics networks. In specific, Digital Supply Chain Twins (DSCT) enable firms to connect multiple Smart Factory locations, including the network, offering new business solutions by integrating real-time monitoring, execution of predictive analytics, and preparation of data-driven decisions, e.g., using the simulation methodology or artificial intelligence technology [1]. Thus, DSCT solutions enhance firms' supply chain performance by, e.g., realizing process efficiency, resilience, agility, and adaptability. Further, DSCT catalyzes learning by integrating into a Smart Learning Factory environment as an experimental platform for decision-making, strengthening supply chain resilience, or connecting a supply chain network of multiple nodes and locations. Further educational aspects include applied learning, e.g., digital transformation, supply chain visibility and collaboration, data science and analytics, information management capabilities, and supply chain knowledge. |
| Citation: |
Cenk, Gökhan and Engel, Tobias and Andersson, Jonas
(2025)
Digital Twins as Enablers for Supply Chain Integration:
Connecting Multiple Locations of Smart Factories.
In: 4th International Symposium on Industrial Engineering and Automation (ISIEA) and 18th EPIEM Conference 2025 ” Manufacturing 2030 – A Perspective to Future Challenges in Industrial Production”, June, 18-20, 2025, Bolzano, Italy.
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