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 »
It has been a while since I got the time to post any updates, but finally got round to it. Last June I attended the International Symposium on Forecasting (ISF) at Santander, which had been very interesting and enjoyable. I had already posted about the presentations I gave. I was involved in a number of… Read More »
Every year the International Institute of Forecasters (IIF) in collaboration with SAS has been supporting forecasting research with grants up to $5,000. The application deadline for this year is the 30th of September 2016. Applications must include: Description of the project, up to 4 pages; Letter of support from the home institution that the researcher… 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 »
Last week I attended the International Symposium on Forecasting 2016. It was very interesting and enjoyable. Apart from the workshop on forecasting with R, I gave the following presentations: Forecasting with Temporal Hierarchies This presentation was given to the practitioner track of the conference and its aim was to introduce the basic idea of temporal… Read More »
Together with Fotios Petropoulos we gave a workshop on producing forecasts with R, at the International Symposium on Forecasting, 2016. You can find the material of the workshop here. The workshop notes assume knowledge of what the various forecasting methods do, which are only briefly explained in the workshop’s slides, and mostly focuses in showing… Read More »
Choosing the most appropriate forecasting method for your time series is not a trivial task and even though there has been scientific forecasting for so many decades, how to best do it is still an open research question. Nonetheless, there are some reasonable ways to deal with the problem, which although they may not be… Read More »
Fotios Petropoulos and I will be giving a workshop on how to produce forecasts using R. The focus will be on business forecasting applications and the workshop is part of the workshop series that runs as part of the 36th International Symposium on Forecasting on the 19th of June 2016. This workshop will provide a… 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 »