Special Session organized by

Tobias Klausmann, Lenze SE, Germany Tobias Kleinert, RWTH Aachen, Germany Kristof Meixner, TU Wien, Austria, Siwara Schmitt, Fraunhofer IESE, Germany, Fabian Spitzer, University of Applied Sciences Upper Austria, Austria, Luis Miguel Vieira da Silva, Helmut Schmidt University, Germany, Michael Winter, Helmut Schmidt University, Germany.

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Download Call for Papers

Click here to download the special session cfp.

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Focus

As customer requirements change increasingly often, flexible and adaptive automation approaches are needed. These require explicit descriptions of the functions production systems provide and products require. Recent research uses capabilities and skills based on holistic data models. Capabilities describe abstract functions a system can perform, while skills represent their executable implementations that create effects between defined initial and target states. To automatically satisfy requirements, tasks and domain constraints must be matched with available capabilities using techniques like AI planning or reasoning. The resulting process plans are then orchestrated through skills, simulated, optimized, and finally executed.

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Topics under this special session include:

• Modeling of effects, capabilities, skills and services: data modeling, modeling languages,
• knowledge graphs, rule engines, knowledge-based systems, AI-based modeling, Asset
• Administration Shell (i.e., Ontologies, DSLs, Variability Models, OPC UA, ...)
• Capability matching algorithms: (semi)-automated planning, capability-task-matching,
• satisfiability checks, knowledge graph exploration, capability-effect-matching, verification of
• effect sequences
• Skill-based production: generation / modeling of process plans, orchestration, execution
• Process plan simulation: optimization, simulation techniques for skills
• Engineering methods: automated code generation, model-based programming, automated
• generation of models
• Organization of marketplaces: e.g. supply chains in data spaces via services