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Using Data to Trigger Reconfiguration Decisions ​

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

0 hours, 20 minutes

Workload:

1 hour

Proficiency:

Intermediate

Target:

Professionals, Students, Manager

The lesson shows how organizations can move from reactive to proactive and predictive decision-making. Participants will discover the foundations of data-driven reconfiguration, explore powerful tools like predictive analytics and digital twins, and learn from real industry case studies. By the end of the lesson, they will be able to assess which data and how can help anticipate change, reduce risks and drive smart decisions. 

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

  1. By the end of this module, learners will be able to explain the role of data in identifying the need for reconfiguration .
  2. By the end of this module, learners will be able to explore data driven approaches and tools to make reconfiguration decisions.
  3. By the end of this module, learners will be able to assess the impact of data-driven information for planning restructuring actions.

Topics

Sustainable Manufacturing

Take the next step toward your learning goals

Course Includes

  • 1 Quiz

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