The project explores digital solutions for optimizing personnel development and identifying employee qualification strategies.
Despite the automatization and the assignment of robots and machines, we cannot imagine a workplace without humans. The strength of human workers lies in the flexibility. Employees are able to learn new tasks or to optimize present duties more efficiently and with higher quality overtime. When we talk about optimizing and analysing productions systems, the human factor is often forgotten. Especially regions with intensive production such as Upper Austria are dependent on skilled workers.
Through this project, new digital solutions for an optimal personnel development should be found. The new planning and analysing tool is based on simulation, optimisation and data analytics. In practice, relationships between qualification and production skills such as service level are identified.
Through new optimizing algorithms, qualification matrices are suggested, which lead to improved company key figures. For personal planning, optimized qualification strategies can be deduced. Via data analysing processes, companies can identify and interpret contexts between qualification matrices and production key figures. Therefore, the question of how staff can achieve a higher benefit can be answered. Production systems are transferred into a simulation model via the well-established software tool SimGen. Analysis can be conducted, which qualifications are needed and how they are distributed among the staff members.