I was recently invited to give a talk at AWS in Berlin. I presented the current work on temporal and cross-temporal hierarchical forecasting. My view is that there is a lot of potential for these approaches to augment existing forecasting processes with relative ease. Considering the wider forecasting problem, we do not forecast for the… Read More »
I was recently invited to a workshop focused on forecasting and supply chain management at Valencia Polytechnic University. Many thanks to Ester Guijarro for organising the workshop and helping to bring together forecasters and supply chain experts! I presented on optimising forecasting model parameters for inventory management. You can find the presentation here, and a… Read More »
Yves R. Sagaert, Nikolaos Kourentzes, Stijn Du Vuyst, El-Houssaine Aghezzaf and Bram Desmet, 2018, International Journal of Production Economics.
Juan R. Trapero, Manuel Cardos and Nikolaos Kourentzes, 2018, International Journal of Forecasting.
Juan R. Trapero, Manuel Cardos and Nikolaos Kourentzes, 2018, Omega. https://doi.org/10.1016/j.omega.2018.05.004
The ABC-XYZ analysis is a very popular tool in supply chain management. It is based on the Pareto principle, i.e. the expectation that the minority of cases has a disproportional impact to the whole. This is often referred to as the 80/20 rule, with the classical example that the 80% of the wealth is owned… Read More »
Last August I attended the International Symposium on Inventories, organised by the International Society for Inventory Research (ISIR 2016). This is the second time I had attended this conference and it has been again a very good experience. Interesting talks on a variety of relevant topics to forecasting research. I organised a special track on… Read More »
Issue 41 of Foresight featured a short commentary by Sujit Singh on the gaps between academia and business. Together with Fotios Petropoulos, motivated by our focus to produce and disseminate research that is directly applicable to practice, in this commentary we present our views on some of the very useful and interesting points raised by… Read More »
Extrapolative forecasting, using models such as exponential smoothing, is arguably not very complicated from a mathematical point of view, but it requires a shift in logic in terms of what is a good forecast. For this discussion I will use a simple form of exponential smoothing to demontrate my point. 1. The forecasting model: single… Read More »
D. Barrow and N. Kourentzes, 2016, International Journal of Production Economics, 177: 24-33. http://dx.doi.org/10.1016/j.ijpe.2016.03.017