Introduction to Supply Chain Digital Twins

Type of course:

Digital learning, Lesson

Language:

Duration:

0 hours, 30 minutes

Workload:

1 hour

Proficiency:

Intermediate

Target:

Professionals, Manager, Workers

SUMMARY

This lesson introduces the concept of Supply Chain Digital Twins (SCDTs), their evolution from decision support systems (DSS) to data-augmented cognitive modeling and learning systems (DACMLS), and their role in modern supply chain management. Learners will explore classifications and types of SCDTs, the SCOR framework, modeling techniques, and integration strategies for validation and scalability.

About The Author

This course was developed within the EU-funded R3GROUP project, as part of Task 5.4: Social Impact Management, to raise the awareness about resilience strategies and technologies for reconfiguration in different manufacturing sectors. The authors bring combined expertise in engineering, innovation, and industrial transformation, ensuring a balanced approach between theoretical foundations and practical application.

The R3GROUP project has received funding from the European Union’s Horizon Europe programme under grant agreement No. 101091869. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Learning outcomes

By the end of this module, learners will be able to explain the concept, evolution and classifications of Supply Chain Digital Twins.
By the end of this module, learners will be able to identify SCDT capabilities, applications and implementation challenges within the SCOR framework.
By the end of this module, learners will be able to use modeling, validation, and scalability approaches to real-world supply chain contexts.