Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures
Year of publication: |
2025
|
---|---|
Authors: | Di Cunzolo, Matteo ; Ronzani, Massimiliano ; Aringhieri, Roberto ; Di Francescomarino, Chiara ; Ghidini, Chiara ; Guastalla, Alberto ; Sulis, Emilio |
Published in: |
International transactions in operational research : a journal of the International Federation of Operational Research Societies. - Oxford : Wiley-Blackwell, ISSN 1475-3995, ZDB-ID 2019815-2. - Vol. 32.2025, 4, p. 2189-2214
|
Subject: | case study | interventional radiology | optimisation | predictive process monitoring | process mining | robustness | Prozessmanagement | Business process management | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Robustes Verfahren | Robust statistics | Prognoseverfahren | Forecasting model |
-
Predictive end-to-end enterprise process network monitoring
Oberdorf, Felix, (2023)
-
Robust efficiency of airline resource schedules
Ionescu, Lucian, (2018)
-
Radišić-Aberger, Ognjen, (2024)
- More ...
-
Collaborative specification of semantically annotated business processes
Rospocher, Marco, (2010)
-
Fairness in ambulance routing for post disaster management
Aringhieri, Roberto, (2022)
-
Integrating value modeling and legal risk management : an IT case study
Muthuri, Robert, (2022)
- More ...