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Publicaties
Recent
Bemthuis, R. H. (2024).
Emergent Behaviors in a Resilient Logistics Supply Chain. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036560733
Anbalagan, S. N.
, Schwarz, M.
, Bemthuis, R. H.
, & Havinga, P. J. M. (2024).
Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis.
Procedia computer science,
232, 2730-2739.
https://doi.org/10.1016/j.procs.2024.02.090
Bemthuis, R. H., Govers, R., & Lazarova-Molnar, S. (2024).
Using Process Mining for Face Validity Assessment in Agent-Based Simulation Models: An Exploratory Case Study. In M. Sellami, W. Gaaloul, M.-E. Vidal, B. van Dongen, & H. Panetto (Eds.),
Cooperative Information Systems: 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings (pp. 311-326). (Lecture Notes in Computer Science; Vol. 14353). Springer Nature.
https://doi.org/10.1007/978-3-031-46846-9_17
Bemthuis, R. H., & Lazarova-Molnar, S. (2023).
An Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.),
Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 134-151). (Lecture Notes in Computer Science; Vol. 14367). Springer Nature.
https://doi.org/10.1007/978-3-031-46587-1_8
Maneschijn, D. G. J. C.
, Bemthuis, R. H., Arachchige, J. J.
, Bukhsh, F. A.
, & Iacob, M. E. (2023).
Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective. In J. Filipe, M. Śmiałek, A. Brodsky, & S. Hammoudi (Eds.),
Enterprise Information Systems. ICEIS 2022 (pp. 3-21). (Lecture Notes in Business Information Processing; Vol. 487). Springer Nature.
https://doi.org/10.1007/978-3-031-39386-0_1
Piest, J. P. S.
, Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J.
, & Bukhsh, F. A. (2023).
A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques. In P. Samarati, S. D. C. D. Vimercati, M. van Sinderen, & F. Wijnhoven (Eds.),
E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers (pp. 118-136). (Communications in Computer and Information Science (CCIS); Vol. 1795). Springer Nature.
https://doi.org/10.1007/978-3-031-36840-0_7
Wijnhoven, F.
, Hoffmann, P.
, Bemthuis, R., & Boksbeld, J. (2023).
Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case.
International Journal of Information Management Data Insights,
3(1), Article 100163.
https://doi.org/10.1016/j.jjimei.2023.100163
Bemthuis, R. H., & Lazarova-Molnar, S. (2022).
Discovering Agent Models using Process Mining: Initial Approach and a Case Study. In
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (pp. 163-172). IEEE.
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00028
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Vakken Collegejaar 2022/2023
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 5010
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
5010
Postbus 217
7500 AE Enschede