Research Group

MiP | Management of Industrial Production

Group Presentation

About us

In global competition, companies located in Germany are increasingly confronted with a variety of changes. In particular, the efficient use of resources and the dynamisation of product life cycles represent important challenges for manufacturing companies. In order to face these challenges, transparent and efficient value creation processes are essential for success.

The research group “MiP | Management of Industrial Production” examines in particular innovations at the process level in production. Strategy, planning, production and service processes are the objects of observation. The focus of the MiP research group is on the handling of research and industrial projects on the topics of:

  • Integration of digital worker assistance
  • Data-driven value stream and business model innovation
  • Traceability systems in the digitized production

The individual research topics aim at the overall goal of creating transparent and intelligent value creation processes. Industrial projects on production optimisation and the development of production strategies complement the portfolio. In addition, the group prepares studies on key future fields of production. In the recent past, these included, for example, “Industry 4.0 – potentials, benefits and good practice examples for the Hessian industry”, “Global production handbook” or “Future of production”.

Arepron research project | 2018 – 2020

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Integration of digital assistance into production:

Design and implementation of demand-oriented cooperation between humans and digital assistance systems in production

  • Holistic approach to the benefit-oriented implementation of digital assistance in production
  • Development of AI-based digital assistance
  • Data-based integration of new product variants into an existing digital assistance system

Data-driven value stream and business model innovation:Benefit-oriented application of artificial intelligence and simulation

  • Design and implementation of advanced analytics projects from data cleansing to machine learning in machines and processes
  • Evaluation of advanced analytics from a management perspective, from clear goal definition to customer benefit
  • Development and evaluation of data-based business models, e.g. with the help of simulations
  • Predictive quality and data-based tool wear determination
  • Predictive maintenance based on machine and process data

Traceability systems in digitalised production:

Components and equipment as active information carriers in production processes

  • Benefit-oriented evaluation and integration of auto identification and indoor localisation technologies
  • Conceptual design of value stream continuous and life cycle comprehensive marking strategies
  • Design of traceability solutions as enablers of digital twins and platform-based systems
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
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
Fabian Hock M. Eng.
MiP | Management of Industrial Production
+49 6151 8229-695
L1|01 111
Felix Hoffmann M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-697
L1|01 105
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
Amina Ziegenbein M. Sc. M. Sc.
MiP | Management of Industrial Production
+49 6151 8229-698
L1|01 112