SS 04 - SEnSEI - Skill Based Systems Engineering

Special Session Organized by

Kathrin Evers, Festo AG & Co. KG, Germany and Jan R. Seyler, Festo AG & Co. KG, Germany

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Large product catalogues, a wide variety of configurations and an almost infinite number of possible combinations make the selection and dimensioning of automation components and their combination into systems and plants a very time-consuming and difficult task. Today, the engineering process is a trial-and error approach. Based on experience the sales engineer gives the customer a first solution which then in turns influences the customers’ requirements. In several loops a possible solution is found. This process is neither efficient nor optimal as it changes the initial problem and leaves a solution-neutral description very early. However, a solution- and technology-neutral problem analysis is needed to avoid biased, suboptimal solutions and rather find optimal, albeit unconventional solutions.

Topics under this session include (but not limited to)

  • Modelling of the automation application: Data modelling, modelling languages, knowledge graphs, rule engines, knowledge-based systems
  • Finding possible components: Planning, Artificial intelligence, Skill-task-matching, Knowledge Discovery
  • Simulation of a proposed plan: Optimization, simulation techniques
  • Derivation of PLC code: Automated code generation, model-based programming