License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.09261.29
URN: urn:nbn:de:0030-drops-21718
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/2171/
Go to the corresponding Portal


Gaul, Constantin ; Kurz, Sascha ; Rambau, Jörg

The Combinatorics of (S,M,L,XL) or the best fitting delivery of T-shirts

pdf-format:
09261.RambauJoerg.Paper.2171.pdf (0.2 MB)


Abstract

A fashion discounter supplies its branches with apparel in various sizes. Apparel is ordered in pre-packs three months in advance from overseas: replenishment impossible. Thus, the supply in each size and branch must be consistent with the demand right away. We present new ILP-models for the resulting lot-type design problem: For each branch, find lot types and delivery volumes so that the demand is met best. Our vision is an integrated price-and-size optimization model that takes the mark-down process into account when placing the orders. The results are applied by a german fashion discounter with over 1000 branches.



BibTeX - Entry

@InProceedings{gaul_et_al:DagSemProc.09261.29,
  author =	{Gaul, Constantin and Kurz, Sascha and Rambau, J\"{o}rg},
  title =	{{The Combinatorics of (S,M,L,XL) or the best fitting delivery of T-shirts}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/2171},
  URN =		{urn:nbn:de:0030-drops-21718},
  doi =		{10.4230/DagSemProc.09261.29},
  annote =	{Keywords: Supply chain management, fashion retailer, integer linear programming, demand forecasting}
}

Keywords: Supply chain management, fashion retailer, integer linear programming, demand forecasting
Collection: 09261 - Models and Algorithms for Optimization in Logistics
Issue Date: 2009
Date of publication: 02.10.2009


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI