Bridging the Gap between Rich Supply Chain Problems and the Effective Application of Metaheuristics through Ontology-Based Modeling

  • Corinna Engelhardt-Nowitzki
  • Stefan Rotter
  • Michael Affenzeller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8111)


Supply chains (SC) are exposed to dynamic markets and enlarged network structures. This induces abundant decision complexity and the need to frequently adapt decisions. Metaheuristics are most suitable for rich SC optimization problems. However, effectiveness and adaptability of these approaches are impaired through extensive modeling efforts and intricate data representation issues. Therefore we propose using ontological modeling to mitigate these disadvantages.


Supply Chain Optimization Metaheuristics Supply Chain Ontology 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Corinna Engelhardt-Nowitzki
    • 1
  • Stefan Rotter
    • 1
  • Michael Affenzeller
    • 2
  1. 1.Upper Austria University of Applied SciencesSteyrAustria
  2. 2.Upper Austria University of Applied SciencesHagenbergAustria

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