Production Systems (PRO)

Motivation and aim
PRO Gruppenbild

Shorter product life-cycles, diverse variety, increasing pace of innovations and increasing complexity in production technology place increased demands on the industry. Consequently, entrepreneurial decisions bear high risks, which in turn requires not only new forms of teamwork but also for the business network to be viewed as one whole production system. The core components processes, organizations and resources must permit a high development and innovation capability corresponding to the dynamic company demands. Therefore, the aim of the production systems department is the development of methods and tools for target orientated designing and optimization of quicker, more robust and more efficient production systems. New approaches will be developed according to individual industrial requirements starting from strategic business planning and organization right upto production control, and this being transformed into a company's success.

Contact:
Prof. Dr.-Ing. Gisela Lanza

Topics

Global Production Strategies Production System Planning Quality Management
  • Strategic design of production networks

  • Site selection and site-specific production

  • Production network optimization

  • Cross-site value stream analysis

  • Robustness and resilience in the network

  • Digitalization strategy in production networks

  • Digital business models

     

  • Adaptive production systems

  • Cost assessment & scenario analysis

  • Autonomous production control

  • Machine Learning in production

  • Digital twin

  • Industry 4.0 implementation strategies

  • Circular production planning

  • Co-design of products and production systems

  • Factory planning and biologization

     

  • Function-oriented measurement and function modelling

  • Metrological information fusion

  • Quantitative non-destructive testing

  • Production-integrated measurement with Artificial Intelligence

  • Intelligent quality control cycles

  • Autonomous measurement technology

  • Measurement uncertainty evaluation

     

Contact:
Michael Martin, M. Sc.
Contact:
Martin Benfer, M.Sc.
Contact:
Martin Benfer, M.Sc.

Research Projects

DaFiRe – Data-Based Fault Hypothesis Development for the Intelli
The aim is to create a semi-automated inspection and decision-making platform that links production, design, and life cycle data with adaptive measurement methods and generates well-founded error hypotheses.
Carolin Lange, M.Sc.
Merlin Korth, M.Sc.
01.02.2026 -
31.01.2029
SPIRAL-UP
Systematic Product Improvement through Adaptive Lifecycle Integrated Upgrades
Tobias Lachnit M.Sc.
Frederik Rincke M.Sc.
01.10.2025 -
30.09.2027
INSPIRE: Intelligent Hybrid Decision Support
The INSPIRE project develops a hybrid AI-based decision support system to optimize product development. It combines expert knowledge with multimodal data and is tested in two industrial use cases.
M. Sc. Ali Bilen
01.01.2025 -
31.12.2027
Pipeline for varied, adaptive Roboter Assembly
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Alexander Geiser, M.Sc.
01.01.2025 -
31.12.2026
CRC 1574 - Circular Factory for the Perpetual Product
The vision of the Collaborative Research Center 1574 "Circular Factory for the Perpetual Product" is to enable integrated linear and circular production on an industrial scale. This should translate used products into current product generations in order to achieve the vision of the perpetual product. To investigate the unknown processes and mechanisms, the Collaborative Research Center deals with scientific questions related to production technology, product development and materials technology, ergonomics, robotics, computer science and knowledge modelling.
Jan-Philipp Kaiser
Prof. Dr.-Ing. Gisela Lanza
01.04.2024 -
31.12.2027
CliCE-DiPP
Climate-neutral Circular Economy enabled by Digital Product Carbon Pass
Magnus Kandler, M.Sc.
Moritz Hörger, M.Sc.
Yannik Hermann, M.Sc.
01.05.2023 -
30.04.2026
IntroRemanNet
Development of a decision support method for small and medium-sized companies for introducing remanufacturing in global value chains
Tobias Lachnit M.Sc.
01.01.2023 -
31.12.2025
champI4.0ns
Intelligent and sovereign use of data by the example of the timber industry
Martin Benfer., M.Sc.
Kevin Gleich, M.Sc.
01.05.2022 -
30.04.2026