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  • Sascha Kurz (1)

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  • 2006 (1) (remove)

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Show/Hide Abstract Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings (2006)
Sascha Kurz Jörg Rambau
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.

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