A Forecasting Support System dedicated to Temperature-Controlled Goods Hauling
Résumé
This article describes an operational research problem. A firm specialized in temperature controlled transportation wants to optimize the planning of its human and material resources using short-term activity forecasting. The challenge is to find a unique forecasting model adapted, without any human intervention, to the specific needs of 57 of the company's offices. To do so, the company has been collecting data for five years. Mathematic algorithms for forecasting time series are used to analyse the data. The goal of the work is to combine these tools to extract the maximum amount of determinist information that should be anticipated. The introduction presents the problem and its economic context. It is followed by a description of the chosen process and arguments to defend those choices. The adopted solutions are inventoried. A forcasting support system interface is presented. Finally, the conclusion refers to courses of study.
Origine : Fichiers produits par l'(les) auteur(s)
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