Digitale Methoden für verbesserte Personalqualifizierungsstrategien
Funded by: Land OÖ
Partners:
- Technosert Electronic Gmbh
- E+E Elektronik GmbH
- FH OÖ Campus Steyr
Despite the increasing automation and therefore increased use of robots and machines,
people are still a vital factor in manufacturing companies today. One strength of human
resources is amongst others their high flexibility. Staff is able to learn new tasks or improve
existing ones through constant qualification. However, the human factor is often ignored in
analysing and optimizing production systems. At manufacturing locations like Upper Austria,
the availability of specialists and efficient employees is considered as competitive advantage
for firms. The project aims at investigating new approaches for optimized human resource
development. Simulation, optimization and data analysis are combined to a new planning
and analysis tool. Potentials of integrated personnel and production planning are highlighted
through the application in two different manufacturing companies in Upper Austria.
Novel optimization algorithms suggest qualification matrices, which lead to improved
company key figures in the simulated evaluation. For personnel planning, optimized
development strategies can be derived. Connections between qualification matrices and
production performance indicators will be made identifiable and interpretable with data
analysis methods. For example, the question whether personnel should be qualified more
broadly or more specially should be answered in this project.
Through the usage of the established software tool SimGen, manufacturing systems are
transferred into a simulation model. Degrees of freedom in qualifications are used within
automatic methods of simulation-based optimization in order to improve production figures.
The participating partners in this project FH OÖ, E+E Elektronik and technosert joined
together in order to combine their profound experience and necessary infrastructure to
enhance research in this area.
This planned project forms the basis for long-term evaluation of the labour market as well as
identifying requirements for education institutions. Optimal Workforce makes a significant
contribution to improving the manufacturing location Upper Austria.
