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Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings

Title data

Kurz, Sascha ; Rambau, Jörg:
Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings.
In: Macedo Mourelle, Luiza de (Hrsg.): Proceedings of the 7th International Conference on Intelligent Systems Design and Applications. - Los Alamitos, CA, USA : IEEE Computer Society , 2007 . - pp. 196-204
ISBN 978-0-7695-2976-9

Abstract in another language

We propose the new top-dog-index to quantify the historic deviation of the supply data of many small branches for a commodity group from sales data. On the one hand, the common parametric assumptions on the customer demand distribution in the literature could not at all be supported in our real-world data set. On the other hand, a reasonably-looking non-parametric approach to estimate the demand distribution for the different branches directly from the sales distribution could only provide us with statistically weak and unreliable estimates for the future demand. Based on real-world sales data from our industry partner we provide evidence that our top-dog-index is statistically robust. Using the top-dog-index, we propose a heuristics to improve the branch-dependent proportion between supply and demand. Our approach cannot estimate the branch-dependent demand directly. It can, however, classify the branches into a given number of clusters according to an historic oversupply or undersupply. This classification of branches can iteratively be used to adapt the branch distribution of supply and demand in the future.

Further data

Item Type: Article in a book
Refereed: Yes
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 Mathematics in Economy
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy > Chair Mathematics in Economy - Univ.-Prof. Dr. Jörg Rambau
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 04 Jun 2014 08:25
Last Modified: 20 Feb 2019 09:04
URI: https://eref.uni-bayreuth.de/id/eprint/746