Fraunhofer Institute for Production Systems and Design Technology
Fraunhofer Institute for Production Systems and Design Technology

In-house Training Digital Twins

In-house training / by appointment

Theory and practice of digital twins

A digital twin is a virtual representation of a physical object or process. It is primarily used when companies want to observe, analyze, simulate, and optimize their products or systems throughout their entire life cycle. To do this, models, information, and data are continuously collected from a real object or process, providing insights into its condition and behavior.

That's the theory – but what does it look like in practice? How are digital twins developed and what challenges do I face in the process?

We offer a two-day in-house training course on digital twins. Our experts impart fundamental knowledge and discuss with you the challenges of the strategic orientation, conception, and implementation of digital twins – tailored to your needs.

  

Testimonial

Baral Geohaus-Consulting AG

Wadim Lautenschleger

The in-house training course “Digital Twins” provided us with valuable insights for our work. In a two-day workshop, we gained both a sound theoretical foundation and practical insights.

The content was excellently prepared, clearly communicated, and highly relevant to our projects in the field of digital twins. The training helped us to understand the concepts of digital twins even better and provided valuable methods for developing our own digital twin approaches.

A big thank you to the Fraunhofer IPK team for the exciting and practical training—and to all participants from Baral Geohaus-Consulting for their enthusiastic participation.

OVERVIEW

Type of event In-house training
Venue In-house / on-site or
Produktionstechnisches Zentrum Berlin (PTZ)
Pascalstrasse 8-9
10587 Berlin
Germany
Date by arrangement
Language English, German
Minimum number of participants 5
Participation fee Upon request
OUR TOPICS

You can choose from the following topics:

Fundamentals

  • Definitions, product lifecycle, and digital twins
  • Application examples for digital twins, considerations on the state of the industry and future prospects
  • Overview of the methodological development of digital twins
  • Overview of the capabilities of digital twins
  • Expert insights and industry perspectives on digital twins

Strategic knowledge

  • Added value and different types of digital twins
  • Challenges and requirements when introducing digital twins
  • Methodical development of digital twins: development of the organization
  • Essential supporting technologies for enabling digital twins

Specific knowledge on the strategy of digital twins

  • Change management at the organizational level
  • Skills and abilities
  • Designing business models
  • Digital twins as part of smart products
  • Managing and measuring digital twin projects
  • Verification procedures and progress

Specific knowledge of digital twin architecture

  • Management of projects with digital twins
  • Defining use cases for digital twins
  • Detailed examination of technologies
  • Management of digital twins
  • IT systems and architecture
  • Data security and secure architectures
  • Dual modeling and testing

Specific knowledge of digital twin technology

  • Detailed examination of the technologies
  • Technical IT and APIs
  • Clouds and edges
  • Databases, data analysis, and AI
  • Data security and secure architectures
  • Semantics and ontologies
  • Digital factory
  • Simulation and automation
  • Extended reality
  • Digital twins for sustainability
TARGET AUDIENCE

An event for

Companies from the DACH region.