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An exact column-generation approach for the lot-type design problem

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005890
URN to cite this document: urn:nbn:de:bvb:703-epub-5890-3

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Kießling, Miriam ; Kurz, Sascha ; Rambau, Jörg:
An exact column-generation approach for the lot-type design problem.
Bayreuth , 2020 . - 36 S.

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Abstract

We consider a fashion discounter distributing its many branches with integral multiples from a set of available lot-types. For the problem of approximating the branch and size dependent demand using those lots we propose a tailored exact column generation approach assisted by fast algorithms for intrinsic subproblems, which turns out to be very efficient on our real-world instances as well as on random instances.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): msc: 90-XX
Erschienen in: TOP : An Official Journal of the Spanish Society of Statistics and Operations Research. Bd. 29 (Oktober 2021) Heft 3 . - S. 741-780; https://doi.org/10.1007/s11750-020-00582-x
Keywords: Spaltengenerierungsverfahren; P-Median-Modell; Standortproblem
Subject classification: Mathematics Subject Classification Code: 90C06 (90C90 90B99)
DDC Subjects: 500 Science
500 Science > 510 Mathematics
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics > Chair Mathematical Economics - Univ.-Prof. Dr. Jörg Rambau
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5890-3
Date Deposited: 08 Nov 2021 11:00
Last Modified: 08 Nov 2021 11:01
URI: https://epub.uni-bayreuth.de/id/eprint/5890

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