Dr.ir. M. Koot | People Pages: Find employees & contact details

Martijn Koot is an Assistant Professor within the department Industrial Engineering & Business Information Systems at the University of Twente, Enschede. He holds both a BSc and MSc degree in Industrial Engineering & Management, and completed his Ph.D. in condition-based logistics at the University of Twente in 2024. His current research aims to make supply chains more resilient by using various Internet of Things solutions to quickly detect and resolve disruptions. Besides his research activities, Martijn also supports various BSc and MSc courses related to research methodology, data science and academic skills.

Expertise

Computer Science
- Internet of Things
- Supply Chain
- Decision-Making
- Big Data Analytics
- Models
- Simulation
- Reference Architecture
- Contexts

Organisations

Publications

2024

Condition-Based Logistics: Internet of Things Solutions for Resilient Supply Chains (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Koot, M.https://doi.org/10.3990/1.9789036561075Building an Ontological Bridge Between Supply Chain Resilience and IoT Applications (2024)In Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 79-96) (Lecture Notes in Computer Science). Springer. Koot, M., Mes, M. R. K. & Iacob, M. E.https://doi.org/10.1007/978-3-031-46587-1_5

2021

A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics (2021)In 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. Koot, M., Iacob, M.-E. & Mes, M. R. K.https://doi.org/10.1007/978-3-030-79382-1_33Usage impact on data center electricity needs: A system dynamic forecasting model (2021)Applied energy, 291, 1-13. Article 116798. Wijnhoven, F. & Koot, M.https://doi.org/10.1016/j.apenergy.2021.116798A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics (2021)Computers & industrial engineering, 154. Article 107076. Koot, M., Mes, M. & Iacob, M. E.https://doi.org/10.1016/j.cie.2020.107076

2020

Simulation solution validation for an integrated emergency post (2020)In 2019 Winter Simulation Conference (WSC) (pp. 1160-1171). Article 9004705. Mes, M. & Koot, M.https://doi.org/10.1109/WSC40007.2019.9004705

2019

An Agent-Based Process Mining Architecture for Emergent Behavior Analysis (2019)In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 54-64). Article 8907303 (Proceedings IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 23). IEEE. Bemthuis, R. H., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M.-E. & Meratnia, N.https://doi.org/10.1109/EDOCW.2019.00022Towards a framework for smart resilient logistics (2019)In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 202-207). Article 8907340 (IEEE International Enterprise Distributed Object Computing Conference workshops). IEEE. Koot, M.https://doi.org/10.1109/EDOCW.2019.00043

Research profiles

Affiliated study programs

Courses academic year 2024/2025

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.

Courses academic year 2023/2024

Current projects

DATAREL

Big Data for Resilient Logistics

The Netherlands is the European leader in the field of transport, logistics and supply chain. However, the logistics sector is currently undergoing radical changes. Economic conditions are forcing logistics service providers to increase their returns. The impact of electronic business, e-commerce, far-reaching ways of data collection, big data and new technology is enormous. Moreover, customers are becoming increasingly critical. They want the products to be delivered as quickly and cheaply as possible, at the place and time of their choosing, and of the very best quality. The use of innovative IoT technology and big data offers a solution. DATAREL's goal is to develop and demonstrate innovative data collection and analysis techniques and methods for the logistics sector, which will enable the increasingly dynamic and complex logistics processes to be controlled and the entire supply chain to become more sustainable and efficient.

Address

University of Twente

Ravelijn (building no. 10), room 3301
Hallenweg 17
7522 NH Enschede
Netherlands

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