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2340. On the interplay between data and decisions in discrete location problems
Invited abstract in session WB-12: YW4OR_2, stream WISDOM - Women in OR.
Wednesday, 10:30-12:00Room: 13 (building: 116)
Authors (first author is the speaker)
1. | Hannah Bakker
|
Institute of Operations Research, Karlsruhe Institute of Technology |
Abstract
The capacitated facility location problem (CFLP) is a core problem in location science. While the influence of the spatial patterns underlying a CFLP problem instance is widely acknowledged, their relationship with the optimal decisions is insufficiently explored. I will give an overview of my research on how spatial relationships between candidates and customers can be accessed through pattern recognition. With the help of an illustrative example, I demonstrate that these relationships affect the stability of solutions, the performance of solution algorithms, and even indicate the potential added value of moving to a more comprehensive problem formulation including further aspects like time or uncertainty. I outline how explicitly acknowledging these relationships bears significant potential for algorithm selection, algorithm development, and data-driven modeling.
Keywords
- Location
- Algorithms
- Decision Analysis
Status: accepted
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