Towards Simulation-Based Role Optimization in Organizations

The modern workplace is driven by a high amount of available information which can be observed in various domains, e.g., in Industry 4.0. Hence, the question arises: Which competences do actors need to build and efficient work environment? This paper proposes an simulation-based optimization approach to adapt role configurations for team work scenarios. The approach was tested using a multiagent-based job-shop-scheduling model to simulate the effects of various role configurations.

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