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ExpertiseUpdated on 24 June 2025

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

Christina Pietschmann

research assistant at Hochschule Mittweida University of Applied Sciences

Mittweida, Germany

About

Our core competences are:

  • Work planning and design

  • Preparation and integration of Modern Technologies in application-oriented manner for SMEs

  • Ergonomic workplace development

  • Digital assistance systems

  • Knowledge management

For collaboration we can offer expertise in the following areas:

  • Process analysis and optimization

  • Supporting the integration of new processes into existing production processes

  • Digitalization topics

  • Ergonomic design and knowledge management

  • Data analysis

  • Development of VR supported training concepts, e.g., setting up a VR- supported learning environment for technology teaching

  • Establishment and operation of a learning factory

We offer a highly practice-orientated, collaborative approach to research and development. We bring years of experience from publicly funded and industry-driven projects and tailor each collaboration to the specific goals and needs of our partners. Whether it's conducting feasibility studies, developing prototypes, optimising production processes or transferring knowledge into practice, we are flexible in our project design and open to new ideas.

Let's talk and find out how we can turn ideas into impact.

📨 Get in touch

Prof. Dr.-Ing. Leif Goldhahn
Mittweida University of Applied Sciences, Center InnArbeit
Email: goldhahn@hs-mittweida.de

More informations: InnArbeit | HS Mittweida

Field

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

Similar opportunities

  • Project cooperation

    Eureka 2025 Circular Value Creation - Looking for project partners

    • Early idea
    • Expertise offered
    • Data technologies | Assistance and Expert systems
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
    • Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)

    Christina Pietschmann

    research assistant at Hochschule Mittweida University of Applied Sciences

    Mittweida, Germany

  • Project cooperation

    Eureka 2025 Circular Value Creation - Looking for project partners

    • Early idea
    • Expertise offered
    • Data technologies | Assistance and Expert systems
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation

    Sarah Gruß

    research assistant at Hochschule Mittweida University of Applied Sciences

    Mittweida, Germany

  • Expertise

    Postdoctoral researcher or DN

    Katrin Fritzsche

    EU Project Manager at Hochschule Mittweida University of Applied Sciences

    Mittweida, Germany