Research group Operations Research (OR; in Swedish operationsanalys, OA) is a scientific approach to solving problems and making rational decisions in complex systems. Real world problems are formulated as mathematical models; objectives and constraints are quantified, uncertainty is represented statistically, and solutions are designed using optimization and simulation.
“Operations Research involves preparing the basis for rational decisions using systematic scientific methods and - where possible and meaningful - quantitative models.” (Translated from Swedish, Swedish operations research association, soaf.se)
Methods used in operations research include linear and integer optimization, queueing and network theory, probability theory and stochastic processes, mathematical statistics, and computational science. Discrete-event and agent-based simulation are also employed, as well as machine learning when it improves forecasting, planning, and control. Applications range from long-term planning to scheduling and dynamic control. Examples can be found in transport and logistics, energy and power systems, healthcare, industrial production, inventory optimization, and preparedness and resource planning in the public and private sectors.
The research group in Operations Research at the Department of Mathematics and Mathematical Statistics at Umeå University develops and applies modeling, optimization, mathematical statistics, and simulation to create decision support for complex systems. The work is grounded in applied mathematics, computational science, and systems analysis. The research is closely linked to education, particularly the Logistics and Optimization specialization within the Master of Science in Industrial Engineering and Management program (IE). It is connected to research-oriented teaching, projects with real-world data, and supervision of theses. The group welcomes collaborations, visiting researchers, and thesis projects.
