Making sense of randomness to improve network performance
Methodologically, the SOR research program falls at the intersection of Applied Probability and Operations Research, and the SOR group in particular engages in cutting-edge research in the area of queueing theory and analysis of random walks and higher-dimensional Markov processes. A key aim is to develop analytic, probabilistic, algorithmic and asymptotic methods, with emphasis on asymptotic laws and scaling limits for large-scale critical systems. While fundamental and methodological in nature, the research is deeply inspired by applications in computer-communications, logistics and service operations, but also biological systems, particle interactions and social networks.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Policies for the dynamic traveling maintainer problem with alerts
European Journal of Operational Research (2023) -
Stationary analysis of an (R, Q) inventory model with normal and emergency orders
Journal of Applied Probability (2023) -
Simulation study for the comparison of power flow models for a line distribution network with stochastic load demands
(2023) -
Optimal capacity allocation for heavy-traffic fixed-cycle traffic-light queues and intersections
Transportation Research. Part B: Methodological (2023) -
Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
Manufacturing & Service Operations Management (2023)
Contact
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Postal address
Department of Mathematics and Computer SciencePO Box 5135600 MB EindhovenNetherlands -
Visiting address
MetaForumGroene Loper 55612 AP EindhovenNetherlands -
Teamleads.c.borst@ tue.nl
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Teamleado.j.boxma@ tue.nl