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History

Stochastic modelling is an active research field with much interaction between theory and practice. Up to now there was no platform for European researchers working within this broad field. This explains the idea for a European Working Group on Stochastic modelling. In June 2004 this was first proposed to EURO, the Association of European Operational Reseach Societies. The first meeting was held at the Vrije Universiteit Amsterdam, The Netherlands (19th April 2006 - 21st April 2006). With 41 participants, it was a succes. The second meeting took place on June 23-25, 2008 at Koc University in Istanbul. The third meeting will take place at the University of Athens on June 7 to June 9, 2010.

Purpose

The main aim of this Working Group is to provide a platform for researchers working on the theory and/or applications of stochastical models and to stimulate exchange and cooperation between its members. The Working Group has two ways to fulfill its role as European platform for research in stochastic modelling: workshops and a mailing list. It is the objective to organize biennual workshops, the first was organized in April 2006 in Amsterdam. Next to that there is a news web page for submitting information in the area of stochastic modelling. New items are distributed regularly among the members.

Fields of Interest

The dictionary has the following entries:
    bullet  modelling: to make a model;
    bullet  model: a schematic describtion of a system that accounts for its properties and may be used for further study of its characteristics.
This Working Group is concerned with all aspects, both theoretical and practical, of mathematical modelling using stochastic models. The areas of interest include but are not restricted to: performance analysis of telecommunication systems, the modelling of logistics and service systems, the theory of queueing and inventory models, revenue management, and so forth. The use of stochastic models is the binding factor.

Some of the settings where stochastic modelling plays an important role are:

These problemsettings are however only a small set of the possible problems which face stochastic modelling.