events and seminars

MSc Seminar on June 22, 12.45-13.30

The speakers will be:


Ayse Aslan, “Combining process mining and Queuing Theory for ICT Ticket Resolution Process at LUMC”


Jasper Bos, “Design and dimensioning of a multidisciplinary outpatient clinic”

For a list of MSc seminars, click here .

Healthcare Operations Research Summer School in Twente
July 21 – 25, 2017
University of Twente, Enschede, the Netherlands

We are excited to announce a special summer school on Healthcare Operations Research this summer at the University of Twente, the Netherlands! The event targets PhD students working on OR applications focused on improving healthcare. Participants will learn state-of-the-art OR techniques taught by renowned international professors, learn about how to successfully engage with the healthcare practice, and meet other PhD students from around the world. The program includes a wide variety of components including technical lectures, tutorials, inspiring seminars, interactive activities and a design competition of a serious game that demonstrates a healthcare OR/OM concept to healthcare professionals. The total workload of the summer school is 2 European Credits (2 ECs = 56 hours), consisting of preparation and contact hours. For more information and registration please follow this link.


For a list of seminars and conferences, click here.

Dinsdag Seminar

Dinsdag Seminar on July 4, 12.45-13.30

Subsolution approach for the simulation of a rare event in the GI|GI|1 tandem queue


Anne Buijsrogge




In this work we study the event that the total number of customers in a GI|GI|1 tandem queue reaches some high level in a busy cycle of the system. Using simulation, we want to estimate the probability of this event. As this event is rare when the level is high, we choose to use importance sampling to speed up the simulation. Therefore we need to find a change of measure that is asymptotically efficient.

For a Markovian tandem queue a state-dependent change of measure has previously been proven to be asymptotically efficient by using the so-called subsolution approach. Our goal is to generalize this to a GI|GI|1 tandem queue in order to build more realistic models.

The approach we use is similar to the existing subsolution approach. To obtain a Markov process, we add the residual inter-arrival time and the residual service time to the state space description. This approach seems to work well in order to find a state-dependent change of measure for the GI|GI|1 tandem queue and to prove asymptotic efficiency. For the case of a single GI|GI|1 queue, this approach enables us to find an alternative proof for asymptotic efficiency of a state-independent change of measure.

Dinsdag Seminar on Thursday November 19, 12.45-13.30 in Carre 3D

For a list of Dinsdag seminars, click here.