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Towards Simulation-Based Role Optimization in Organization

Kern-Isberner, Gabriele (Hrsg). KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings. 1. ed. Aufl. Cham: Springer 2017 S. 359 - 365 (Lecture Notes in Computer Science ; 10505)

Erscheinungsjahr: 2017

ISBN/ISSN: 978-3-319-67190-1

Publikationstyp: Buchbeitrag (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: 10.1007/978-3-319-67190-1_32

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Inhaltszusammenfassung


The modern workplace is driven by a high amount of avail- able information which can be observed in various domains, e.g., in In- dustry 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 config-...The modern workplace is driven by a high amount of avail- able information which can be observed in various domains, e.g., in In- dustry 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 config- urations » weiterlesen» einklappen

  • Optimization, Multiagent-Based Simulation, Agent-Based Model- ing, Team Cognitions

Autoren


Reuter, Lukas (Autor)
Berndt, Jan Ole (Autor)

Klassifikation


DDC Sachgruppe:
Informatik

Verknüpfte Personen


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