Demand forecasting for companies with many branches, low sales numbers per product, and non-recurring orderings
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 wiWe 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.…
Die Nachfrageschätzung spielt für Unternehmen eine immer größer werdende Rolle. Wir führen einen neuen Index für die Schätzung der Nachfrage anhand historischer Verkaufsinformationen ein.
| Institutes: | Mathematik |
|---|---|
| Author: | Sascha Kurz, Jörg Rambau |
| Year of Completion: | 2006 |
| SWD-Keyword: | Operations Research; Revenue Management |
| Tag: | Revenue Management demand forecasting; revenue management |
| Dewey Decimal Classification: | 510 Mathematik |
| MSC-Classification: | 90B05 Inventory, storage, reservoirs |
| URN: | urn:nbn:de:bvb:703-opus-4255 |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 15.04.2008 |
