TY - GEN
T1 - Bridging the gap between rich supply chain problems and the effective application of metaheuristics through ontology-based modeling
AU - Engelhardt-Nowitzki, Corinna
AU - Rotter, Stefan
AU - Affenzeller, Michael
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Metaheuristics
KW - Supply Chain Ontology
KW - Supply Chain Optimization
UR - http://www.scopus.com/inward/record.url?scp=84892566566&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53856-8-38
DO - 10.1007/978-3-642-53856-8-38
M3 - Conference contribution
AN - SCOPUS:84892566566
SN - 9783642538551
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 300
EP - 307
BT - Computer Aided Systems Theory, EUROCAST 2013 - 14th International Conference, Revised Selected Papers
T2 - 14th International Conference on Computer Aided Systems Theory, Eurocast 2013
Y2 - 10 February 2013 through 15 February 2013
ER -