Description
Leader of the group Stochastics: Bert Zwart.
Many natural and man-made systems and processes are driven by random phenomena. Examples can be found in areas such as communication, energy, information, logistics, and transportation systems. In order to model, describe, and improve such systems, our group develops and studies probabilistic, operational and statistical models. Our group’s analysis of these models relies on techniques from fundamental probability theory, queueing theory, stochastic scheduling, spatial stochastics and stochastic geometry. Our work with various companies in these areas, as well as with top researchers and universities across the globe, ensures our position at the forefront of every aspect of this research field.
News
Increased call center efficiency by identifying redialers
Call centers should base their staff planning on the number of unique callers instead of the total number of calls. Furthermore, introducing a system that gives redialers priority over fresh callers both reduces the average waiting time and improves the fairness of the system. This can be concluded from a study on call center management conducted by CWI.
Firefighters better in position with mathematical model
How could firefighters position themselves even better in a region? If multiple stations are busy fighting a major fire, where should vehicles of other fire stations go to for optimal coverage?
ERCIM News 105 on Planning and Logistics co-coordinated by Rob van der Mei
In April 2016, ERCIM News No. 105 was published: http://ercim-news.ercim.eu/en105. This issue features a special theme on Planning and Logistics, coordinated by guest editors Rob van der Mei (CWI and VU) and Ariona Shashaj (SICS).
Improved throughput of sensor networks with maths
PhD student Martijn Onderwater (CWI and VU) optimized the throughput of ZigBee sensor networks with mathematical techniques. This is important, as the number of sensors is growing and their networks become more crowded.
Members
Associated Members
Publications
-
Chen, B, Rhee, C.H, & Zwart, A.P. (2018). Importance sampling of heavy-tailed iterated random functions. Advances in Applied Probability, 50(3), 805–832. doi:10.1017/apr.2018.37
-
Hristov, A. V, Bhulai, S, van der Mei, R.D, & Bosman, J.W. (2018). Control of a tandem queue with a startup cost for the second server. Stochastic Models. doi:10.1080/15326349.2018.1491314
-
Kamphorst, B. (2018, May 31). Heavy-traffic behaviour of scheduling policies in queues.
-
Bhaumik, D. (2018, May 30). Computational techniques for assessing power grids with wind energy and storage.
-
van Buuren, M, Jagtenberg, C.J, van Barneveld, T.C, van der Mei, R.D, & Bhulai, S. (2018). Ambulance dispatch center pilots proactive relocation policies to enhance effectiveness. Interfaces, 48(3), 235–246. doi:10.1287/inte.2017.0936
-
Bhaumik, D, Crommelin, D.T, Kapodistria, S, & Zwart, A.P. (2018). Hidden Markov Models for wind farm power output. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2018.2834475
-
van Leeuwen, D, Bosman, J.W, & Dugundji, E.R. (2018). Spatio-temporal clustering of time-dependent origin-destination electronic trace data. In Procedia Computer Science (pp. 359–367). doi:10.1016/j.procs.2018.04.053
-
Kamphorst, B, & Zwart, A.P. (2018). Uniform asymptotics for compound Poisson processes with regularly varying jumps and vanishing drift. Stochastic Processes and their Applications. doi:10.1016/j.spa.2018.03.012
-
Bansal, N, Kamphorst, B, & Zwart, A.P. (2018). Achievable performance of blind policies in heavy traffic. Mathematics of Operations Research, 43(3), 949–964. doi:10.1287/moor.2017.0890
-
Squillante, M.S, & van de Ven, P.M. (2018). Max-weight scheduling across multiple timescales. Operations Research Letters, 46(2), 245–250. doi:10.1016/j.orl.2018.01.012
Current projects with external funding
-
Impactstudie Noord/Zuidlijn Gemeente Amsterdam
-
Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken
-
PPS met Cofely
-
Rare events: Asymptotics, Algorithms, Applications
-
Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
-
Two-dimensional models in queues and risk (2QR)
-
Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
-
Emergency Service Logistics: Network Design and Dynamic Dispatching (DYNAMERGE)
Related partners
-
CTVrede
-
De Verkeersonderneming
-
Gemeente Amsterdam
-
Stichting Sensor City
-
Cofely West Nederland