TECH & AI

A digital twin ( DT ) 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 DT 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 .

Here , Mark Landry – Intelligent Industry Leader for Capgemini Americas – offers insight into DT tech within the sphere of supply chain , providing insights and advice for organisations that are struggling with its implementation .

How do digital twins help supply chains ? DTs allow organisations to improve on a number of metrics , such as costs , operational efficiency , turn-around times , and sustainability . The tech allows companies to digitally model , simulate , test , and analyse their products , services , and systems . Used in multiple cases across the value chain – from design through to manufacturing and production – businesses can experiment with different scenarios and assess the impact of each decision without any real-world , tangible risks . The benefits ? Risk-free , low-cost system improvement across the value chain .

DTs can also transform ways of working , alter employee experience , and improve safety .

How does digital twin tech help with ESG compliance ? While DTs offer a range of benefits , recent Capgemini research shows 57 % of organisations agree that improving sustainability efforts is one of the key drivers of their digital twin investments .

The technology can help increase efficiencies , propose interventions , and potentially automate change . This can reduce waste , minimise energy

supplychaindigital . com 113