His scientific interests lie mostly in Queueing theory, Mathematical optimization, Computer network, Dynamic programming and Distributed computing. His Queueing theory research incorporates themes from Dimensioning, Markov chain, Operations management and Operations research. Ger Koole interconnects Appointment scheduling and Local search, Local search procedure in the investigation of issues within Operations research.
The Mathematical optimization study combines topics in areas such as Real-time computing, Dynamic priority scheduling, Fair-share scheduling, Queue and Server. His Optimized Link State Routing Protocol, Mobility model and Mobile ad hoc network study in the realm of Computer network connects with subjects such as Relay. His research integrates issues of Node, Shared resource and Bellman equation in his study of Dynamic programming.
Ger Koole mainly investigates Mathematical optimization, Operations research, Queueing theory, Queue and Dynamic programming. His studies deal with areas such as Stochastic process, Real-time computing, Markov process and Job shop scheduling as well as Mathematical optimization. Ger Koole has researched Operations research in several fields, including Revenue management, Staffing, Scheduling and Reservation.
His work carried out in the field of Queueing theory brings together such families of science as Server and Markov chain. Queue is a subfield of Computer network that Ger Koole explores. His work carried out in the field of Dynamic programming brings together such families of science as Shared resource, Stochastic control and Bellman equation.
The scientist’s investigation covers issues in Operations research, Scheduling, Revenue, Staffing and Revenue management. His work deals with themes such as Reservation, Markov decision process, Real-time computing, Queue and Call management, which intersect with Operations research. Markov decision process is often connected to Mathematical optimization in his work.
In his study, Total cost, Service system, Poisson process and Contact center is strongly linked to Multi channel, which falls under the umbrella field of Scheduling. His research integrates issues of Cover, Estimation and Operations management in his study of Staffing. As part of his studies on Service, Ger Koole often connects relevant subjects like Queueing theory.
Ger Koole spends much of his time researching Operations research, Markov decision process, Reservation, Dynamic programming and Mathematical optimization. His studies deal with areas such as Key, Resource allocation and Flexibility as well as Operations research. The concepts of his Reservation study are interwoven with issues in Economies of scale, Control, Real-time computing, Scheduling and Call management.
The Scheduling study combines topics in areas such as Call control, Multi channel, Callback, Poisson process and Service system. Ger Koole interconnects Queueing theory, Layered queueing network, Markov process and Curse of dimensionality in the investigation of issues within Dynamic programming. His research in Mathematical optimization is mostly focused on Heuristics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Commissioned Paper: Telephone Call Centers: Tutorial, Review, and Research Prospects
Noah Gans;Ger Koole;Avishai Mandelbaum.
Manufacturing & Service Operations Management (2003)
The message delay in mobile ad hoc networks
Robin Groenevelt;Philippe Nain;Ger Koole.
Performance Evaluation (2005)
Queueing models of call centers: An introduction
Ger Koole;Avishai Mandelbaum.
Annals of Operations Research (2002)
Optimal outpatient appointment scheduling
Guido C. Kaandorp;Ger Koole.
Health Care Management Science (2007)
Marked point processes as limits of Markovian arrival streams
Søren Asmussen;Ger Koole.
Journal of Applied Probability (1993)
Managing uncertainty in call centres using Poisson mixtures
Geurt Jongbloed;Ger Koole.
Applied Stochastic Models in Business and Industry (2001)
Modeling the emergency cardiac in-patient flow: an application of queuing theory.
Arnoud M. de Bruin;A. C. van Rossum;M. C. Visser;G. M. Koole.
Health Care Management Science (2007)
Dimensioning hospital wards using the Erlang loss model
A. M. de Bruin;A. M. de Bruin;R. Bekker;L. van Zanten;G. M. Koole.
Annals of Operations Research (2010)
On optimal call admission control in resource-sharing system
E. Altman;T. Jimenez;G. Koole.
IEEE Transactions on Communications (2001)
Sample-Path Analysis of Queueing Systems
G.M. Koole;M. El-Taha;S. Stidham.
(1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
French Institute for Research in Computer Science and Automation - INRIA
French Institute for Research in Computer Science and Automation - INRIA
CentraleSupélec
University of Montreal
University of Amsterdam
University of Massachusetts Amherst
Technion – Israel Institute of Technology
Indian Institute of Science
Eindhoven University of Technology
Indian Institute of Technology Bombay
French Institute for Research in Computer Science and Automation - INRIA
Publications: 49
Microsoft (United States)
IBM Research - Thomas J. Watson Research Center
Nanchang University
Ludwig-Maximilians-Universität München
Purdue University West Lafayette
Max Planck Society
University of Yamanashi
University of Lorraine
Nord University
Ruhr University Bochum
Thomas Jefferson University
University of Sussex
The University of Texas Southwestern Medical Center
University of Michigan–Ann Arbor
University of Iowa
Plymouth University