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ExpertiseUpdated on 7 August 2025

Empowering SMEs through a Learning Factory for Digital Transformation and Knowledge Transfer

Christina Pietschmann

research assistant at Hochschule Mittweida University of Applied Sciences

Mittweida, Germany

About

We offer expertise in designing and implementing a Learning Factory that supports small and medium-sized enterprises (SMEs) in their digital transformation journey. Our approach integrates cutting-edge technologies with practical training and knowledge management strategies to foster innovation and sustainable value creation.

The learning factory can be designed to offer the following services:

  • Customized training concepts and interactive learning modules

  • Workshops for technology implementation and change management

  • Support for transformation processes in manufacturing

  • Knowledge management strategies for continuous learning

  • Qualification programs for employees and organizations

Our key competencies include:

  • Digital Production & Industry 4.0

  • Human-Technology Interaction

  • Rationalization of Manufacturing Processes

  • Multimedia Process Visualization

  • Knowledge Transfer & Workplace Learning

  • Work Planning and Design

  • Ergonomic Workplace Development

  • Digital Assistance Systems

  • Knowledge Management

  • Application-Oriented Integration of Modern Technologies for SMEs

We are looking for partners who are interested in integrating our expertise and the planned Learning Factory as part of their own projects. Together, we can develop innovative training solutions and digital tools for future-ready workplaces.

Let’s shape the future of manufacturing together!

Field

  • (Advanced) Materials and additive manufacturing
  • (AI based) Material and Product Design
  • (AI based) process and system control technologies
  • (AI based) recognition systems
  • AI-driven diagnostic systems
  • Data ecosystems
  • Industry 4.0 technologies
  • Life cycle assessment / Product life cycle management
  • Manufacturing and machine learning
  • Network design of reverse supply chains
  • Reverse Manufacturing
  • Robotic / handling - and assistance systems
  • Simulation models and predictive analytics

Organisation

Similar opportunities

  • Expertise

    Shaping the future of work: process optimization, ergonomics, digitalization, circular value creation and learning factories in SMEs

    • Data ecosystems
    • Industry 4.0 technologies
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • Network design of reverse supply chains
    • Simulation models and predictive analytics
    • Robotic / handling - and assistance systems
    • (AI based) process and system control technologies
    • Life cycle assessment / Product life cycle management

    Christina Pietschmann

    research assistant at Hochschule Mittweida University of Applied Sciences

    Mittweida, Germany

  • Expertise

    AI and Robotics-Driven Lifecycle Management for Industrial Automation

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • AI-driven diagnostic systems
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • Robotic / handling - and assistance systems
    • Life cycle assessment / Product life cycle management

    Vivek Chavan

    Research Associate at Fraunhofer IPK

    Berlin, Germany

  • Expertise

    Urban Transformation & Circular Design

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • Manufacturing and machine learning
    • (AI based) Material and Product Design
    • Network design of reverse supply chains
    • (Advanced) Materials and additive manufacturing
    • Life cycle assessment / Product life cycle management

    Annika Greven

    Researcher at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany