74 citations · 133 across the 6 of their papers we have counts for
8 papers
Exact Methods for Solving k-Delete Recoverable Robust 0-1 Problems Under Budgeted Uncertainty
Yasmine Beck, Christina Büsing, Ivana Ljubić
We study the k-delete recoverable robust 0-1 problem in which a decision-maker solves a combinatorial optimization problem subject to objective uncertainty. The model follows a two…
Interval-Constrained Bipartite Matching over Time
Andreas Abels, Mariia Anapolska, Christina Büsing
Interval-constrained online bipartite matching problem frequently occurs in medical appointment scheduling: Unit-time jobs representing patients arrive online and are assigned to a…
The complexity of the Timetable-Based Railway Network Design Problem
Nadine Friesen, Tim Sander, Karl Nachtigall +1
Because of the long planning periods and their long life cycle, railway infrastructure has to be outlined long ahead. At the present, the infrastructure is designed while only litt…
Robust transshipment problem under consistent flow constraints
Christina Büsing, Arie M. C. A Koster, Sabrina Schmitz
In this paper, we study robust transshipment under consistent flow constraints. We consider demand uncertainty represented by a finite set of scenarios and characterize a subset of…
Robust strategic planning for mobile medical units with steerable and unsteerable demands
Christina Büsing, Martin Comis, Eva Schmidt +1
Mobile medical units (MMUs) are customized vehicles fitted with medical equipment that are used to provide primary care in rural environments. As MMUs can be easily relocated, they…
Patients, Primary Care, and Policy: Simulation Modeling for Health Care Decision Support
Martin Comis, Catherine Cleophas, Christina Büsing
Demand for health care is constantly increasing due to the ongoing demographic change, while at the same time health service providers face difficulties in finding skilled personne…
Robust Optimization under Multi-band Uncertainty - Part I: Theory
Christina Büsing, Fabio D'Andreagiovanni
The classical single-band uncertainty model introduced by Bertsimas and Sim has represented a breakthrough in the development of tractable robust counterparts of Linear Programs. H…
New results about multi-band uncertainty in Robust Optimization
Christina Büsing, Fabio D'Andreagiovanni
"The Price of Robustness" by Bertsimas and Sim represented a breakthrough in the development of a tractable robust counterpart of Linear Programming Problems. However, the central…