We conduct a regular (virtual) colloquium with interesting talks around predictive maintenance. You can join the colloquium via the Microsoft Teams links below. In case of any questions, please contact Nils Jansen or Anna Hermelink.
UPCOMING TALKS
Dr. Frans Oliehoek – Reinforcement Learning: State of the Art & Challenges (June 21, 2023)
Human beings are critical to the functioning and performance of the majority of operating systems. However, human behavior traditionally has been ignored in the field of operation management (OM). More specifically, most models in OM...
Dr. Philippe van de Calseyde – An introduction to behavioral operations management (date to be announced)
Human beings are critical to the functioning and performance of the majority of operating systems. However, human behavior traditionally has been ignored in the field of operation management (OM). More specifically, most models in OM...
PAST TALKS
Prof. Frits Vaandrager – Finding Software Bugs Using Active Automata Learning (Sep 30, 2020)
Active automata learning is emerging as an effective technique for obtaining state machine models of software and hardware systems. In this talk, I will present an overview of work in…
Dr. Bram de Jonge – Condition-based maintenance optimization based on matrix algebra (Sep 16, 2020)
Industrial systems are in general subject to deterioration, ultimately leading to failure, and therefore require maintenance. Due to increasing possibilities to monitor, store, and analyze conditions, condition-based maintenance policies are…
Dr. Alieh Alipour – Asset Management & PdM (Sep 2, 2020)
In this presentation, Alieh will first present the important aspects of Asset Management and how predictive maintenance strategies will influence these aspects. Then, she will present the steps required for…
Prof. Tom Heskes – Causal inference and discovery (July 24, 2020)
Discovering causal relations from data lies at the heart of most scientific research today. In apparent contradiction with the adagio “correlation does not imply causation”, recent theoretical insights indicate that…
Dr. Stella Kapodistria – Integrated learning and decision making (July 8, 2020)
Stella Kapodistria is assistant professor in the Department of Mathematics and Computer Science, where she is part of the Stochastics operations section. She participates in the Networks Gravitation (NWO-Zwaartekracht) project,…
Dr. Jan Braaksma – Advanced maintenance Concepts and the use of RCM/FMEA (June 10, 2020)
Predictive maintenance can be seen as the most rewarding maintenance strategy. Therefore currently there is much focus is on the use of this strategy, however there can be debated that…