Ivo Adan is a Full Professor in the sections Operations, Planning, Accounting and Control (department of Industrial Engineering & Innovation Sciences) and Dynamics and Control (department of Mechanical Engineering) at Eindhoven University of Technology (TU/e) and holds the Manufacturing Networks chair. His expertise and tuition areas include probability theory / statistics, operations research, manufacturing networks, stochastic operations research and queueing models.
His current research interests are in the area of modeling, design and control of manufacturing systems, warehousing systems and transportation systems, and more specifically, in the mathematical analysis of multi-dimensional structured Markov processes and queueing models, providing an indispensable tool in the above mentioned area.
Probabilistic intuition and understanding the effect of variability are indispensable tools in the design and control of manufacturing systems.
Ivo Adan received his MSc and PhD in Mathematics from TU/e. Since 2011 he has been a Full Professor in Manufacturing Networks in the Department of Mechanical Engineering, TU/e, and was previously an Associate Professor in the Department of Mathematics and Computer Science.
In 2001-2002 he was visiting professor at the Operations Research Department of the University of North-Carolina. In 2008-2011 he was also affiliated with the University of Amsterdam as (part-time) full professor in Stochastic Operations Research. He serves on the editorial boards of Queuing Systems and Probability in the Engineering and Informational Sciences. Ivo Adan is a senior fellow of Eurandom and he is the research director of Beta, which is the national network of Operations Management and Logistics
Capacity analysis of sequential zone picking systemsOperations Research (2020)
Reversibility and further properties of FCFS infinite bipartite matchingMathematics of Operations Research (2018)
A skill based parallel service system under FCFS-ALIS : steady state, overloads and abandonmentsStochastic Systems (2014)
Predicting cycle time distributions for integrated processing workstations : an aggregate modeling approachIEEE Transactions on Semiconductor Manufacturing (2011)
Conveyor merges in zone picking systems: a tractable and accurate approximate modelTransportation Science (2018)
- Advieswerk, A4 Technologies