Zilverling

dr.ir. R.H. Bemthuis (Rob)

Universitair docent
EEMCS-CS-PS
Zilverling 5010
r.h.bemthuis@utwente.nl
+31534897009
Visitekaartje

Expertises

  • Computer Science

    • Process Mining
    • Models
    • Case Study
    • Process Mining Technique
    • Process Model
    • Simulation Mode
    • Events
    • Design

Organisaties

Publicaties

2024

Emergent Behaviors in a Resilient Logistics Supply Chain (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Bemthuis, R. H.https://doi.org/10.3990/1.9789036560733A CRISP-DM-based Methodology for Assessing Agent-based Simulation Models using Process Mining (2024)[Working paper › Preprint]. ArXiv.org. Bemthuis, R. H., Govers, R. R. & Asadi, A.https://doi.org/10.48550/arXiv.2404.01114Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis (2024)Procedia computer science, 232, 2730-2739. Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2024.02.090Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining (2024)In Proceedings of the 26th International Conference on Enterprise Information Systems (pp. 85-94) (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. Rademaker, F. M., Bemthuis, R. H., Jayasinghe, J. & Bukhsh, F. A.https://doi.org/10.5220/0012600700003690Exploring the Integration of Agent-Based Modelling, Process Mining, and Business Process Management through a Text Analytics–Based Literature Review (2024)In The Oxford Handbook of Agent-based Computational Management Science. Oxford University Press. Bukhsh, F. A., Govers, R., Bemthuis, R. H. & Iacob, M. E.https://doi.org/10.1093/oxfordhb/9780197668122.013.20Using Process Mining for Face Validity Assessment in Agent-Based Simulation Models: An Exploratory Case Study (2024)In 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. Bemthuis, R. H., Govers, R. & Lazarova-Molnar, S.https://doi.org/10.1007/978-3-031-46846-9_17

2023

An Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining (2023)In 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. Bemthuis, R. H. & Lazarova-Molnar, S.https://doi.org/10.1007/978-3-031-46587-1_8A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques (2023)In 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. Piest, J. P. S., Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-36840-0_7Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case (2023)International Journal of Information Management Data Insights, 3(1). Article 100163. Wijnhoven, F., Hoffmann, P., Bemthuis, R. & Boksbeld, J.https://doi.org/10.1016/j.jjimei.2023.100163Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective (2023)In Enterprise Information Systems. ICEIS 2022 (pp. 3-21) (Lecture Notes in Business Information Processing; Vol. 487). Springer Nature. Maneschijn, D. G. J. C., Bemthuis, R. H., Arachchige, J. J., Bukhsh, F. A. & Iacob, M. E.https://doi.org/10.1007/978-3-031-39386-0_1

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