Management of Industrial Production

About us

In the face of global competition, companies in Germany as a business location are increasingly confronted with various changes. In particular, the efficient use of resources and the dynamization of product life cycles represent significant challenges for manufacturing companies. In order to meet these challenges, transparent and efficient value-creation processes are crucial for success.

The research group, MiP | Management of Industrial Production, is mainly concerned with strategically integrating innovative technologies into production, looking at planning, production and service processes. The focus is on research and industrial projects in the following fields:

  • Human-centred Assistance Systems in Cyber-physical Production Environments
  • Data-driven Process Optimization and Business Model Innovation
  • Traceability as Support for Digital Twins

Processing these research results within various transfer formats ensures the ongoing transfer of scientific findings into industrial practice.

Industrial projects on production optimization, developing production strategies and preparing studies on key future production fields complement the portfolio.

With the FlowFactory, a new research and learning factory is built on the Lichtwiese campus, where future issues of production management will be investigated and demonstrated using state-of-the-art technology.

Our Vision

In the face of global competition, companies in Germany as a business location are increasingly confronted with various changes. In particular, the efficient use of resources and the dynamization of product life cycles represent significant challenges for manufacturing companies. In order to meet these challenges, transparent and efficient value-creation processes are crucial for success.

Human-centered assistance systems in cyber-physical production environments
Design and implementation of demand-driven collaboration between humans and digital assistance systems in production.

  • A holistic approach to benefit-oriented implementation of digital assistance production
  • Research on the interaction of digital assistance in production
  • Development of use cases for AI-based digital assistance
  • Research in adaptive systems for variant-rich production
  • Preparation of assistance-based concepts for circular economy

Traceability to support digital twins
Deploy traceability technologies for on-demand data collection:

  • Evaluation, selection and value stream integration of auto-identification and indoor localization technologies
  • Configuration of traceability systems for data-supported mapping of production processes
  • Traceability-supported CO2 balancing for the determination of the product carbon footprint according to the source of the CO2 emissions
  • Potentials and use of traceability to support a circular economy

Data-driven process optimization and business model innovation
Using state-of-the-art methods of data analysis to generate improvements in production processes and open up new business models for companies in the mechanical and plant engineering sector:

  • Developing and evaluating data-driven business models.
    • Development of innovative business model architectures for data utilization
    • Cost-benefit evaluation of data-driven applications
  • Quality Intelligence
    • Development of applications for predictive quality monitoring
    • Enabling data-driven quality management
    • Autonomous data-driven quality control in self-learning production systems
  • Asset Intelligence
    • Development of applications for predictive maintenance of wear elements
  • Intelligent Planning
    • Use of data for intelligent order planning and control at the factory level
Photo Name Contact
Head
Markus Schreiber M. Sc.
Head of Research Group MiP | Management of Industrial Production
+49 6151 8229-694
L1|01 113
Enno Lang M. Sc.
Assistant Head of Research Group MiP | Management of Industrial Production
+49 6151 8229-772
L1|01 105
Felix Hoffmann M. Sc.
Head of Research Group MiP/CiP
+49 6151 8229-697
L1|01 112
Staff
Phillip Bausch M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-692
L1|01 113
Beatriz Bretones Cassoli M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-699
L1|01 112
Julian Herrmann M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-634
L1|01 103
Fabian Hock M. Eng.
MiP | Management of Industrial Production
+49 6151 8229-695
L1|01 111
Leonie Meldt M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-640
L1|01 105
Alexander Moltschanov M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-631
L1|01 103
Sophie Sandner M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-755
L1|01 111
Nik Weisbrod M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-757
L1|01 102
Feng Zhu M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-696
L1|01 102

Arepron research project | 2018 – 2020

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