Members of INTERCOL, Nikolaos Kourentzes, Fotios Petropoulos and Juan R. Trapero have received the best paper award from the specialized journal, International Journal of Forecasting. The award was announced in the International Symposium on Forecasting celebrated in Cairns (Australia)
One of the objectives of the Project was to deliver a SIMULINK toolbox to be capable of simulating different supply Chains. We are pleased to inform that a beta version of such a toolbox is available.
Dr. Nikolaos Kourentzes has visited our university within the INTERCOL Project activities. During his staying, we have advanced in important objectives of the Project as the multi-step ahead optimization of the Forecasting models under uncertainty, as well as, the use of complex error metrics to measure the Forecasting performance. Hopefully soon, several working papers will be available with more details.
We’ll keep you posted!
It is a pleasure to inform that two members of the INTERCOL Project (Eugenia and Ester) are organising a very interesting event about Forecasting and inventory control within the 11th. International Conference on Industrial Engineering and Industrial Management that will take place in Valencia between the 5th. and 6th. of July. Note that these disciplines are typically studied as different areas, although both of them have many links that often are overlooked. Therefore this workshop can be very useful to bridge that gap!. Continue reading Workshop: Forecasting and inventory control
Bullwhip effect is a problem of paramount importance that reduces competitiveness of supply chains around the world. A significant effort is being devoted by both practitioners and academics to understand its causes and to reduce its pernicious consequences. Nevertheless, limited research has been carried out to analyse potential metrics to measure it, that typically are summarized in the coefficient of variation ratio of different echelons demand. This work proposes a new metric based on a time-varying extension of the aforementioned bullwhip effect metric by employing recursive estimation algorithms expressed in the State Space framework to provide at each single time period a real-time bullwhip effect estimate. Continue reading real-time bullwhip metric