SS08 – Skill Based Systems Engineering

Organized and co-chaired by

Jan R. Seyler
Festo AG & Co. KG
jan.seyler@festo.com
Alexander Smirnov
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
smir@iias.spb.su
Kathrin Evers
Festo AG & Co. KG
kathrin.evers@festo.com

Download the Special Session CfP

Focus: 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. This session strives to find technology independent and near optimal solutions that start with a problem description.

Topics:

  • 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




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