Photo_Joerg_Rambau
Prof. Dr. Jörg Rambau
Mathematik · Universität Bayreuth
director, core methods team
![]() |
|
Personal Information
Since 2004 Jörg Rambau has led the chair of Business Mathematics at the University of Bayreuth. Before that, he worked as a scientific assistant from 1996 through 2004 at the Zuse Institute Berlin. After his diploma in mathematics at the University of Bochum from 1987 to 1993 he became a member of the research training group "Algorithmische Diskrete Mathematik" at Technical University of Berlin where he got his PhD. with Günter M. Ziegler in 1996. He finished his habilitation in 2002 with Martin Grötschel.
Competences
Jörg Rambau represents the whole range of Discrete Optimization in MODUS, in particular, mixed integer linear programming. Special attention is devoted to uncertain programming, dynamic optimization, and online optimization – that is, well-founded methods to deal with situations in which relevant data is not (yet) known completely at the time of optimization.
Projects
Jörg Rambau is member of the following MODUS projects:
- ODip – Optimal Diplomacy (2010/01/01 – ), with methods from Discrete Optimization under Uncertainty (application partner: Philosophy)
- MEIO – Multi-Echelon Inventory Optimization (2012/05/06 – ), with methods from Stochastic Integer Linear Programming (application partner: Volkswagen AG, IBM)
- CTN – Cooperative Truck Networks (2016/02/22 – ), with methods from Mixed Integer Linear Programming (application partner: I-LAN-project at FH Erfurt)
- Robust Configuration of Production Plants, with methods from Stochastic Programming (application partner: wbk Institut für Produktionstechnik, KIT, Karlsruhe)
- Finished:CHAMP – Control of Heat in Automated Model Production (2012/03/01 – 2015/02/28), with methods from Combinatorial Optimization (application partner: Concept Laser, Lichtenfels)
- Finished: AZuR – An Assistant System for the Time Tabling and Room Assignment for University Courses (2010/03/01 – 2013/08/31), with methods from Mixed Integer Linear Programming (application partner: University of Bayreuth)
- Finished:DISPO – A Decision Support System for the Integrated Size and Price Optimization (2007/11/01 – 2010/10/31), with methods from Stochastic Integer Linear Programming (application partner: NKD Vertriebs GmbH, Bindlach)
Publications related to MODUS
2020
Preprints
2018
-
2018 A typology and literature review on stochastic multi-echelon inventory models European Journal of Operational Research BibTeX
-
2018 Modeling Demand Propagation in Guaranteed Service Models 9th Vienna International Conference on Mathematical Modelling Elsevier 284-289 BibTeX
Artikel
Buchkapitel
Beiträge auf Konferenzen
2017
-
2017 Sport Strategy Optimization in Beach Volleyball– How to bound direct point probabilities dependent on individual skills Proceedings of MathSport International 2017 Conference 184-193 BibTeX
-
2017 Rapid Mathematical Programming for Cooperative Truck Networks Operations Research Proceedings 2017 Springer International Publishing 317-324 BibTeX
Buchkapitel
Beiträge auf Konferenzen
2015
-
2015 Optimal Opinion Control : The Campaign Problem Journal of Artificial Societies and Social Simulation 18 3 1-47 BibTeX
-
2015 The Top-Dog Index : a new measurement for the demand consistency of the size distribution in pre-pack orders for a fashion discounter with many small branches Annals of Operations Research 229 1 541-563 BibTeX
Preprints
Artikel
Beiträge auf Konferenzen
2014
-
2014 Evaluation of a new supply strategy based on stochastic programming for a fashion discounter Helber, Stefan (Hrsg.): Operations Research Proceedings 2012 Springer 515-520 BibTeX
Buchkapitel
2012
-
2012 The Integrated Size and Price Optimization problem Numerical Algebra, Control and Optimization 2 4 669-693 BibTeX
Preprints
Artikel
Beiträge auf Konferenzen
2011
-
2011 On the Hegselmann-Krause conjecture in opinion dynamics Journal of Difference Equations and Applications 17 6 859-876 BibTeX
Artikel
2009
-
2009 The Combinatorics of (S,M,L,XL) or the best fitting delivery of T-shirts Models and Algorithms for Optimization in Logistics Schloss Dagstuhl — Leibniz-Zentrum für Informatik, Germany BibTeX