New discrete Online-Optimization methods for in-house logistic systems using various reoptimization models will be evaluated in theory and simulation.


Many logistic systems in production planning require a reliable online control. In this project, a special class of online optimization algorithms is being studied: reoptimization algorithms. Whenever the state of the system changes, an offline optimization problem (auxiliary problem) is solved, based on the data currently available. This auxiliary problem may be the offline version of the original online optimization problem (standard auxiliary problem): the same objective is optimized subject to the same constraints, but only the already known input data are used. This can lead to undesired behavior.


The goal of this project is to find suitable auxiliary problems to obtain, e.g., a stable online behavior of the system. We conjecture that auxiliary problems with low sensitivity are appropriate.


Publications

Research focus area: 
Robust Solutions under Uncertainty
Heads: 
Tuchscherer, Dr. Andreas
Members: 
Grötschel, Prof. Dr. Dr. h.c. mult. Martin
Rambau, Prof. Dr. Jörg
Tuchscherer, Dr. Andreas
Friese, Philipp
Partners: 
DFG Research Center Matheon
Project B7
Project B11
Project C3
analysis
and simulation of modular real-time systems
Project C5
Project C7
Project F4
DFG-Graduiertenkolleg Stochastische Modellierung und quantitative Analyse großer Systeme in den Ingenieurwissenschaften (MAGSI) (Philipp Friese)
Universität Bayreuth (Jörg Rambau)
Technische Universität Kaiserslautern (Sven O. Krumke)
Maastricht University (Tjark Vredeveld)
eCom-Logistik
Falkensee (Mr. Eckle)
Hermes Technischer Kundendienst GmbH & Co. KG (Frank Hinsch)
Intranetz GmbH (Norbert Ascheuer)
Allgemeiner Deutscher Automobilclub (Renate Ahlers)
Intergraph Public Safety (Sebastian Stepfer)
T-Systems GmbH (Monika Jäger
Fritz-Joachim Westphal)
Volkswagen AG (Dr. Klaus Schröer)
Related features: 
Mathematics in traffic and transport
Funding: 
DFG Research Center Matheon