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.
Kennzahlenbasierte Steuerung, Koordination und Aktionsplanung in Multiagentensystemen ; Key Figure Based Control, Coordination and Action Planning in Multi-Agent Systems
2017-06-29
Hochschulschrift
Elektronische Ressource
Deutsch
key performance indicators , multi-agent systems , cyber-physical systems , automated planning , PDDL , multi-criteria optimization , interval arithmetic , real-valued constraint satisfaction , production planning and control , Industrie 4 , 0 , 000 Computer science , knowledge and systems , ddc:000
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