For the record , a digital twin is a dynamic digitised model of a physical thing or system that relies on sensor data to understand its state , respond to changes , improve operations and to add value .

In the context of supply chains , a digital twin is a virtual replica , comprising potentially thousands of assets , warehouses , logistics and inventory positions . It offers a clear view of the risks facing complex , interconnected supply chains . This allows supply chains to be agile , because risk is identified early and disruption is minimised , or perhaps even averted .

This sounds complex enough , but the truth is that digital twin technology is even more multi-layered and nuanced than many people realise .

For example , there are different levels and types of digital twins . Multiple layers of digital twins can coexist within an organisation . Some might represent an asset , while others will represent people and their interaction with that asset . Then further digital twins might represent a process , a facility , or the entire supply chain .

What is needed , and often lacking , is a strategy around creating a common data platform that is able to create digital threads to connect all of this data across all of these digital twins – something that creates a full genealogy of all that was involved in the creation of these multi-layered digital twins .

supplychaindigital . com 121