Supporting runtime decision making in the production automation domain using design time engineering knowledge

  • Moser T
  • Sunindyo W
  • Merdan M
 et al. 
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Complex production automation systems are often
represented as multi-agent systems which need to be
reconfigured correctly and efficiently to adapt to new
requirements. While the system knowledge is available at
design time in form of workshop layouts, product trees or
production strategies, at runtime this knowledge is often
not available and therefore not used at all for operational
decision making. In this paper we describe an engineering
ontology used for the representation of design time
engineering knowledge for supporting runtime decisions. We
evaluate the proposed approach using three scenarios from
the production automation domain. Major result was that the
explicitly available design time knowledge can provide
valuable input to runtime decisions.

Author-supplied keywords

  • Design time knowledge
  • Engineering ontology
  • Runtime decision making

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  • SCOPUS: 2-s2.0-84890883608
  • SGR: 84890883608
  • ISSN: 16130073
  • PUI: 370545861


  • Thomas Moser

  • Wikan Danar Sunindyo

  • Munir Merdan

  • Stefan Biffl

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