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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

URN to cite this document: urn:nbn:de:bvb:703-opus-4219

Title data

Kurz, Sascha ; Rambau, Jörg ; Schlüchtermann, Jörg ; Wolf, Rainer:
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.
Bayreuth , 2008

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Abstract

We propose the new Top-Dog-Index, a measure for the branch-dependent historic deviation of the supply data of apparel sizes from the sales data of a fashion discounter. A common approach is to estimate demand for sizes directly from the sales data. This approach may yield information for the demand for sizes if aggregated over all branches and products. However, as we will show in a real-world business case, this direct approach is in general not capable to provide information about each branchs individual demand for sizes: the supply per branch is so small that either the number of sales is statistically too small for a good estimate (early measurement) or there will be too much unsatisfied demand neglected in the sales data (late measurement). Moreover, in our real-world data we could not verify any of the demand distribution assumptions suggested in the literature. Our approach cannot estimate the demand for sizes directly. It can, however, individually measure for each branch the scarcest and the amplest sizes, aggregated over all products. This measurement can iteratively be used to adapt the size distributions in the pre-pack orders for the future. A real-world blind study shows the potential of this distribution free heuristic optimization approach: The gross yield measured in percent of gross value was almost one percentage point higher in the test-group branches than in the control-group branches.

Abstract in another language

Filialabhängige Bedarfsprognosen anhand von historischen Verkaufsinformationen sind sehr wichtig aber auch sehr schwierig zu treffen. Wir führen einen neuen Index, den Top-Dog-Index, ein, um zu messen, wie stark einzelne Filialen über- bzw. unterbeliefert sind. Mit diesem Ansatz kann man zwar den quantitativen Bedarf nicht direkt schätzen, aber zumindest die Belieferung iterativ an den Bedarf anpassen. Wir werten eine in der Praxis durchgeführte Blindstudie aus und belegen das Potential dieser Methode anhand von signifikanten Steigerungen im Rohertrag.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): msc: 90B05
Keywords: Operations Research; Diskrete Optimierung; Feldforschung; Blindversuch; Revenue Management; Revenue Management; Grössenoptimierung; Feldstudie; Doppel-Blind-Studie; revenue management; size optimization; demand forecasting; Top-Dog-Index; field study; parallel blind testing
DDC Subjects: 300 Social sciences > 330 Economics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
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
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Law, Business and Economics
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-opus-4219
Date Deposited: 25 Apr 2014 10:51
Last Modified: 13 Mar 2019 10:58
URI: https://epub.uni-bayreuth.de/id/eprint/613

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