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

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory, EUROCAST 2013 - 14th International Conference, Revised Selected Papers
Pages300-307
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2013
Event14th International Conference on Computer Aided Systems Theory, Eurocast 2013 - Las Palmas de Gran Canaria, Spain
Duration: 10 Feb 201315 Feb 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8111 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Computer Aided Systems Theory, Eurocast 2013
CountrySpain
CityLas Palmas de Gran Canaria
Period10.02.201315.02.2013

Keywords

  • Metaheuristics
  • Supply Chain Ontology
  • Supply Chain Optimization

Fingerprint Dive into the research topics of 'Bridging the gap between rich supply chain problems and the effective application of metaheuristics through ontology-based modeling'. Together they form a unique fingerprint.

Cite this