To be of practical use, the implementation of flexible and modular agent-based cyber-physical systems (CPS) for real-world autonomous control applications in Industry 4.0 oftentimes requires the domain-specific software agents to adhere to the organization's overall qualitative and quantitative business goals, usually expressed in terms of numeric key performance indicators (KPI). In this thesis, a general software framework for multi-agent systems (MAS) and CPS is developed that facilitates the integration and configuration of KPI-related objectives into the agents' individual decision processes. It allows the user of an agent system to define new KPIs and associated multi-criteria goals and supports inter-agent coordination as well as detailed KPI-based action planning, all at runtime of the MAS. The domain-independent components of the proposed KPI framework are implemented as a Java programming library and evaluated in a simulated production planning and control scenario.


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    Title :

    Kennzahlenbasierte Steuerung, Koordination und Aktionsplanung in Multiagentensystemen ; Key Figure Based Control, Coordination and Action Planning in Multi-Agent Systems



    Publication date :

    2017-06-29


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    German



    Classification :

    DDC:    000 / 629




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