Monday, 15:15 - 15:40 h, Room: H 1058


Dieter Weninger
SCIP preprocessing for MIPs arising in supply chain management

Coauthors: Gerald Gamrath, Thorsten Koch, Alexander Martin, Matthias Miltenberger


Supply Chain Management (SCM) deals with the combination of procurement, production, storage, transport and delivery of commodities. Problems of this kind occur in different industry branches. Since the integrated planning of these processes contain a high potential for optimization,
it is of great importance for the efficiency of a related company. The method of choice to find optimal solutions for SCM problems is mixed integer programming. However, there are big challenges to overcome due to the very detailed and therefore large models. One way to reduce the large models is to perform an extensive preprocessing. We show preprocessing algorithms which decisively help reducing and solving the
problems. The implementations of the preprocesing algorithms are done within the non-commercial mixed integer programming solver SCIP.


Talk 1 of the invited session Mon.3.H 1058
"MILP software I" [...]
Cluster 10
"Implementations & software" [...]


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