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Industrial Management and Assembly Technology
Production Management and Logistics
The research group Production Management and
Logistics is working on projects aimed at enhancing
effectiveness and efficiency of production. The research
scope covers three main fields of interest. The first field
comprises the design of an effective manufacturing
change management and the management of production
technologies as well as factory planning. The second
field conducts research on the efficient integration of
human resources in an increasingly digital and networked
production environment.
These fields are complemented by research on optimiza
tion methods for industrial application and on approaches
for efficient exploration of required data. The group’s
wide-ranging expertise in all areas of production manage
ment and logistics is based on current and former com
prehensive research.
Furthermore, the research group is equipped with a real
production environment through the Learning Factory for
Lean Production (LSP) and a lab that supports research,
teaching and training in the context of human resources in
production.
Projects
■■
SFB 768 – Managing cycles in innovation processes,
sub-projects, B4 ‘Model-based forecasting and assess-
ment of change impacts in production’, and B5 ‘Sys-
temic change management for the design of change
cycles in production’ in the funding phase II, and the
transfer project T2 ‘Cyclically Oriented Assessment and
Planning of Technology Sequences and Equipment for
Assembly Processes’ (DFG)
■■
Intelligent logistics planning based on big data (BMW)
■■
Efficient data management for the use of mathematical
optimization models in the production strategy (BMW)
■■
Individual and dynamic worker information (MAN)
■■
Efficient preproduction development of variantrich
small series production (MAN)
■■
Predictive cognitive maintenance decision support
system (EU)
■■
Mittelstand 4.0 – Competence Center Augsburg (BMWi)
Digital worker assistance system (Uli Benz, TUM)
Courses at the new
‘
Learning factory for lean production
’