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2014 | OriginalPaper | Chapter

Evaluation of a New Supply Strategy for a Fashion Discounter

Authors : Miriam Kießling, Tobias Kreisel, Sascha Kurz, Jörg Rambau

Published in: Operations Research Proceedings 2012

Publisher: Springer International Publishing

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Abstract

Fashion discounters face the problem of ordering the right amount of pieces in each size of a product. The product is ordered in pre-packs containing a certain size-mix of a product. For this so-called lot-type design problem, a stochastic mixed integer linear programm was developed, in which price cuts serve as recourse action for oversupply. Our goal is to answer the question, whether the resulting supply strategy leads to a supply that is significantly more consistent with the demand for sizes compared to the original manual planning. Since the total profit is influenced by too many factors unrelated to sizes (like the popularity of the product, the weather or a changing economic situation), we suggest a comparison method which excludes many outer effects by construction. We apply the method to a real-world field study: The improvements in the size distributions of the supply are significant.

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Footnotes
1
An approximation of \(Q(x,\xi )\) can be computed by solving a mixed integer linear programm or a dynamic program.
 
2
We use the notation from [3].
 
Literature
1.
go back to reference Gaul, C., Kurz, S., Rambau, J.: On the lot-type design problem. Optim. Methods Softw. 25(2), 217–227 (2010)CrossRef Gaul, C., Kurz, S., Rambau, J.: On the lot-type design problem. Optim. Methods Softw. 25(2), 217–227 (2010)CrossRef
2.
go back to reference H. Büning and G. Trenkler: Nichtparametrische statistische Methoden, Gruyter, (1994) H. Büning and G. Trenkler: Nichtparametrische statistische Methoden, Gruyter, (1994)
3.
go back to reference R. Purves, D. Freedman and R. Pisani: Statistics, WW Norton & Co, (1998) R. Purves, D. Freedman and R. Pisani: Statistics, WW Norton & Co, (1998)
4.
go back to reference S. Kurz and J. Rambau: Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings, Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 22–24.10.2007, Rio de Janeiro, Brazil, 2007, pp. 196–201 S. Kurz and J. Rambau: Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings, Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 22–24.10.2007, Rio de Janeiro, Brazil, 2007, pp. 196–201
5.
go back to reference S. Kurz and J. Rambau, J. Schlüchtermann, and R. Wolf.: 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, (submitted) S. Kurz and J. Rambau, J. Schlüchtermann, and R. Wolf.: 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, (submitted)
Metadata
Title
Evaluation of a New Supply Strategy for a Fashion Discounter
Authors
Miriam Kießling
Tobias Kreisel
Sascha Kurz
Jörg Rambau
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-00795-3_77