Katrin Halbig

M.Sc. Katrin Halbig

Department of Data Science (DDS)
Lehrstuhl für Analytics & Mixed-Integer Optimization

Raum: Raum 03.376
Cauerstraße 11
91058 Erlangen


  • Development of new Linear and Integer Programming Techniques to solve Supply Chain Management Problems

    (Drittmittelfinanzierte Einzelförderung)

    Laufzeit: seit 01-03-2010
    Mittelgeber: Industrie

    Supply Chain Management (SCM) deals with the combination of procurement, production, storage, transport and delivery of commodities. Problems of this kind occur in all kinds of industry branches. Since the integrated planning of these processes contains a high potential for optimization it is of great importance for the companies’ efficiency.

    The method of choice to find optimal solutions in SCM is linear and integer programming. Nevertheless, there are big challenges to overcome – concerning both hardware and algorithms – due to very detailed and therefore large models. Additionally there may occur numerical difficulties that standard techniques cannot deal with.

    As a consequence, the problem’s mathematical formulation has to be done carefully and new methods need to be implemented to improve the performance of MIP algorithms.


  • , , , , , , , , , , , , , , , , , , , , , , , , , , , :
    The SCIP Optimization Suite 7.0
    In: Konrad-Zuse-Zentrum für Informationstechnik Berlin : ZIB-Report ()
    BibTeX: Download
Friedrich-Alexander-Universität Erlangen-Nürnberg