In this theme
Decisions under uncertainty
Mathematical models describe a real-life phenomenon, using mathematical language. The model will not exactly be like the reality, but can be used to learn from and help us make decisions.
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Traffic congestion: Optimal tolling schemes••
September 23 2018, by Pieter KleerCongested road networks are a big problem in many countries. Building more roads is not always the best solution to solve this issue. One of the reasons for this is that drivers behave selfishlyRead article - Article
Layered networks III: The math behind manufacturing plants design•••
May 3 2017, by Jan-Pieter DorsmanEarlier, we have seen that layered queueing networks are found in manufacturing plants, as well as many other applications in society. The math behind such networks is much more challenging than traditional queueing networks.Read article - Article
Layered networks II: The layered character of manufacturing plants••
January 10 2017, by Jan-Pieter DorsmanWe have seen that queueing networks can be a great aid to answering such design questions. In this article, we look more closely at what queueing networks in manufacturing plants look like. It turns out that they have a very distinctive feature in that they are layered.Read article - Article
Traffic congestion: Tolls••
December 29 2016, by Cristóbal Guzmán and Pieter KleerOne way to mitigate the consequences of drivers' selfish behavior, is by introducing tolls (or taxes) on certain parts of the road network. This is also known as road pricing.Read article - Article
Layered networks I: From manufacturing plants to queueing networks••
November 15 2016, by Jan-Pieter DorsmanManufacturing plants convert raw material into a final product. Think of cars, where the production line consists of a large number of phases to put all the different parts together into a working car. Big machines in such a plant perform the processing steps in different phases, which often have to be done in a specific order.Read article