About the meeting

The EURO Working Group on Stochastic Modelling was formed to serve as the platform for researchers in Europe who have an interest in stochastic modelling. It is concerned with the development and use of probabilistic models and probability theory for the improvement of evaluation, optimisation, and design of systems that involve random phenomena, for example, production lines, supply chains, service centres, communications/energy/social networks, financial markets, etc.

The EURO WG on Stochastic Modelling is the European counterpart of the INFORMS Applied Probability Society (APS). It was formed in 2006 and since then biennial meetings have been held in various European locations in years alternating with INFORMS APS meetings. The members include researchers with a main or side interest in stochastic modelling, with backgrounds in applied probability, operational research, management science, business analytics, engineering, statistics, mathematics, economics, computer science, and other sciences. Currently, we have over 300 members with an attendance of over 50 at the last meeting in 2016. Anyone interested in presenting their research, participating in the discussions, or simply learning and/or consulting about the subject of stochastic modelling may join the working group and its meetings. Membership is free, so join here.

StochMod is the premier European forum for researchers who have an interest in stochastic modelling. The scope of the meetings includes both theoretical advances in stochastic modelling techniques and relevant applications. The contribution may lie in the formulation of new stochastic models, in the development of new analytical methods, or in the innovative application of existing models and methods.

Theoretical research topics include but are not restricted to modelling and/or optimisation in:

  • Queueing theory
  • Markov decision processes
  • Stochastic processes
  • Simulation
  • Bayesian statistics
  • Machine learning and data science
  • Game theory and behavior theory
  • Stochastic programming
  • Approximation, heuristic and asymptotic methods
  • Robust and multicriteria decision making

The list of relevant applications includes but is not restricted to:

  • Service operations, such as healthcare systems and contact centres
  • Business innovations, such as sharing economy and online market places
  • Social networks and communications systems
  • Biometrics, epidemiology and medical decision making
  • Supply chains and manufacturing/production systems
  • Logistics and transportation
  • Revenue management and pricing
  • Routing, scheduling and resource allocation
  • Economics, financial markets and risk management
  • Energy systems
  • Business and marketing analytics
  • Humanitarian and non-for-profit projects

We also welcome contributions at the intersection of stochastic modelling with topics of other EURO Working groups, especially Network OptimizationStochastic OptimizationPricing and Revenue Management,Commodities and Financial ModellingData Science meets Optimization, and Project Management and Scheduling.