Martijn Koot is a PhD Candidate within the department Industrial Engineering and Business Information Systems at the University of Twente, Enschede. He holds a BSc and MSc degree in Industrial Engineering & Management from the University of Twente. His current research is devoted to improve logistics decision making by exploiting the enormous data sets originating from IoT networks in combination with Big Data Analytics. Besides his research activities, Martijn also supports various BSc courses related to research methodology and databases.
Engineering & Materials Science
# Big Data # Data Analytics # Decision Making # Internet Of Things # Logistics # Planning # Supply Chains
Earth & Environmental Sciences
# Data Center
Koot, M. , Iacob, M-E. , & Mes, M. R. K. (2021). A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics. In M. La Rosa, S. Sadiq, & E. Teniente (Eds.), Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp. 551-565). (Lecture Notes in Computer Science; Vol. 12751). Springer. https://doi.org/10.1007/978-3-030-79382-1_33
Koot, M. , Mes, M. , & Iacob, M. E. (2021). A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics. Computers and industrial engineering, 154, . https://doi.org/10.1016/j.cie.2020.107076
Wijnhoven, F. , & Koot, M. (2021). Usage impact on data center electricity needs: A system dynamic forecasting model. Applied energy, 291, 1-13. . https://doi.org/10.1016/j.apenergy.2021.116798
Mes, M. , & Koot, M. (2020). Simulation solution validation for an integrated emergency post. In 2019 Winter Simulation Conference (WSC) https://doi.org/10.1109/WSC40007.2019.9004705
Koot, M. (2019). Towards a framework for smart resilient logistics. In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (Vol. 23, pp. 202-207). (IEEE International Enterprise Distributed Object Computing Conference workshops). IEEE. https://doi.org/10.1109/EDOCW.2019.00043
Bemthuis, R. H. , Koot, M. , Mes, M. R. K. , Bukhsh, F. A. , Iacob, M-E. , & Meratnia, N. (2019). An Agent-Based Process Mining Architecture for Emergent Behavior Analysis. In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 54-64).  (Proceedings IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 23). IEEE. https://doi.org/10.1109/EDOCW.2019.00022
UT Research Information System
Google Scholar Link
Affiliated Study Programmes
Courses Academic Year 2021/2022
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.