The Process Improvement Explorer: Automated Discovery and Assessment of Business Process Improvement Opportunities

Enhancing business process simulation models with extraneous activity delays

Auteurs: David Chapela-Campa, Marlon Dumas
Publié dans: Information Systems, Numéro 122, 2024, Page(s) 102346, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102346

AI-augmented Business Process Management Systems: A Research Manifesto

Auteurs: Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber
Publié dans: ACM Transactions on Management Information Systems, Numéro 14, 2023, Page(s) 1-19, ISSN 2158-656X
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3576047

Discovery, simulation, and optimization of business processes with differentiated resources

Auteurs: Orlenys López-Pintado, Marlon Dumas, Jonas Berx
Publié dans: Information Systems, Numéro 120, 2023, Page(s) 102289, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102289

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

Auteurs: Niels Martin, Dominik A. Fischer, Georgi D. Kerpedzhiev, Kanika Goel, Sander J. J. Leemans, Maximilian Röglinger, Wil M. P. van der Aalst, Marlon Dumas, Marcello La Rosa, Moe T. Wynn
Publié dans: Business & Information Systems Engineering, Numéro 63, 2021, Page(s) 511-527, ISSN 2363-7005
Éditeur: Springer
DOI: 10.1007/s12599-021-00720-0

Data-Driven Identification and Analysis of Waiting Times in Business Processes

Auteurs: Muhammad Awais Ali, Fredrik Milani, Marlon Dumas
Publié dans: Business & Information Systems Engineering, 2024, ISSN 2363-7005
Éditeur: Springer
DOI: 10.1007/s12599-024-00868-5

Business process variant analysis: Survey and classification

Auteurs: Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
Publié dans: Knowledge-Based Systems, Numéro 211, 2021, Page(s) 106557, ISSN 0950-7051
Éditeur: Elsevier BV
DOI: 10.1016/j.knosys.2020.106557

Robotic Process Mining: Vision and Challenges

Auteurs: Volodymyr Leno; Artem Polyvyanyy; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi
Publié dans: Business & Information Systems Engineering, Numéro Vol. 63, 2021, Page(s) 301–314, ISSN 2363-7005
Éditeur: Springer
DOI: 10.1007/s12599-020-00641-4

From process mining to augmented process execution

Auteurs: David Chapela-Campa, Marlon Dumas
Publié dans: Software and Systems Modeling, Numéro 22, 2024, Page(s) 1977-1986, ISSN 1619-1366
Éditeur: Springer Verlag
DOI: 10.1007/s10270-023-01132-2

Learning business process simulation models: A Hybrid process mining and deep learning approach

Auteurs: Manuel Camargo, Daniel Báron, Marlon Dumas, Oscar González-Rojas
Publié dans: Information Systems, Numéro 117, 2023, Page(s) 102248, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102248

Differentially private release of event logs for process mining

Auteurs: Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Publié dans: Information Systems, Numéro 115, 2023, Page(s) 102161, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2022.102161

Optimization framework for DFG-based automated process discovery approaches

Auteurs: Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans & Seppe K. L. M. vanden Broucke
Publié dans: Software and Systems Modeling, Numéro 20(4), 2021, Page(s) 1245-1270, ISSN 1619-1366
Éditeur: Springer Verlag
DOI: 10.1007/s10270-020-00846-x

Business process simulation: Probabilistic modeling of intermittent resource availability and multitasking behavior

Auteurs: Orlenys López-Pintado, Marlon Dumas
Publié dans: Information Systems, Numéro 127, 2024, Page(s) 102471, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102471

Discovering generative models from event logs: data-driven simulation vs deep learning

Auteurs: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Publié dans: PeerJ Computer Science, Numéro 7, 2021, Page(s) e577, ISSN 2376-5992
Éditeur: PeerJ
DOI: 10.7717/peerj-cs.577

Prescriptive process monitoring: <i>Quo vadis</i>?

Auteurs: Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Publié dans: PeerJ Computer Science, Numéro 8, 2022, Page(s) e1097, ISSN 2376-5992
Éditeur: PeerJ Publishing
DOI: 10.7717/peerj-cs.1097

Prescriptive process monitoring based on causal effect estimation

Auteurs: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Publié dans: Information Systems, Numéro 116, 2023, Page(s) 102198, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102198

Automated generation of process simulation scenarios from declarative control-flow changes

Auteurs: Daniel Barón-Espitia, Marlon Dumas, Oscar González-Rojas
Publié dans: PeerJ Computer Science, Numéro 10, 2024, Page(s) e2094, ISSN 2376-5992
Éditeur: PeerJ Publishing
DOI: 10.7717/peerj-cs.2094

Scalable alignment of process models and event logs: An approach based on automata and S-components

Auteurs: Daniel Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa
Publié dans: Information Systems, Numéro 94, 2020, Page(s) 101561, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2020.101561

Unveiling the causes of waiting time in business processes from event logs

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Publié dans: Information Systems, Numéro 126, 2024, Page(s) 102434, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102434

A framework for measuring the quality of business process simulation models

Auteurs: David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Publié dans: Information Systems, Numéro 127, 2024, Page(s) 102447, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102447

Automated discovery of business process simulation models from event logs

Auteurs: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Publié dans: Decision Support Systems, Numéro 134, 2020, Page(s) 113284, ISSN 0167-9236
Éditeur: Elsevier BV
DOI: 10.1016/j.dss.2020.113284

Discovering data transfer routines from user interaction logs

Auteurs: Volodymyr Leno; Adriano Augusto; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi; Artem Polyvyanyy
Publié dans: Information Systems, Numéro Vo. 107, 2022, Page(s) 101916, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2021.101916

Discovering business process simulation models in the presence of multitasking and availability constraints

Auteurs: Bedilia Estrada-Torres; Bedilia Estrada-Torres; Manuel Camargo; Marlon Dumas; Luciano García-Bañuelos; Ibrahim Mahdy; Maksym Yerokhin
Publié dans: Data and Knowledge Engineering, Numéro 134, 2021, Page(s) 101897, ISSN 0169-023X
Éditeur: Elsevier BV
DOI: 10.1016/j.datak.2021.101897

Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Marlon Dumas
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Page(s) 231-247
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-05760-1_14

When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints

Auteurs: Mahmoud Shoush, Marlon Dumas
Publié dans: Lecture Notes in Business Information Processing, Business Process Management Forum, 2024, Page(s) 207-223
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-16171-1_13

Discovery of Improvement Opportunities in Knock-Out Checks of Business Processes

Auteurs: Katsiaryna Lashkevich, Lino Moises Mediavilla Ponce, Manuel Camargo, Fredrik Milani, Marlon Dumas
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Page(s) 381-397
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_23

Discovering Automatable Routines from User Interaction Logs

Auteurs: Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino
Publié dans: Business Process Management Forum - BPM Forum 2019, Vienna, Austria, September 1–6, 2019, Proceedings, Numéro 360, 2019, Page(s) 144-162, ISBN 978-3-030-26642-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-26643-1_9

Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes

Auteurs: Muhammad Awais Ali, Marlon Dumas, Fredrik Milani
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Page(s) 149-165
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59465-6_10

Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring

Auteurs: Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Publié dans: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Page(s) 347-363
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_21

Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring

Auteurs: Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas
Publié dans: Lecture Notes in Computer Science, Business Process Management, 2024, Page(s) 403-420
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70396-6_23

Digital Technology-Driven Business Process Redesign: A Classification Framework

Auteurs: Kateryna Kubrak, Fredrik Milani, Juuli Nava
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Page(s) 205-221
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_13

Prosimos: Discovering and Simulating Business Processes with Differentiated Resources

Auteurs: Orlenys López-Pintado, Iryna Halenok, Marlon Dumas
Publié dans: Lecture Notes in Business Information Processing, Enterprise Design, Operations, and Computing. EDOC 2022 Workshops, 2023, Page(s) 346-352
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-26886-1_23

Discovering Business Process Simulation Models in the Presence of Multitasking

Auteurs: Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin
Publié dans: Research Challenges in Information Science - 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings, Numéro 385, 2020, Page(s) 381-397, ISBN 978-3-030-50315-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-50316-1_23

Process Mining: A Guide for Practitioners

Auteurs: Fredrik Milani, Katsiaryna Lashkevich, Fabrizio Maria Maggi, Chiara Di Francescomarino
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Page(s) 265-282
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-05760-1_16

Learning Accurate LSTM Models of Business Processes

Auteurs: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Publié dans: Business Process Management - 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings, Numéro 11675, 2019, Page(s) 286-302, ISBN 978-3-030-26618-9
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-26619-6_19

Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Publié dans: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Page(s) 174-190
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_11

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

Auteurs: Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
Publié dans: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Page(s) 364-380
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_22

Persuasive Visual Presentation of Prescriptive Business Processes

Auteurs: Janna-Liina Leemets, Kateryna Kubrak, Fredrik Milani, Alexander Nolte
Publié dans: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Page(s) 398-414
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_24

LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas
Publié dans: Lecture Notes in Computer Science, Business Process Management, 2024, Page(s) 474-492
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70396-6_27

Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models

Auteurs: David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Publié dans: Lecture Notes in Computer Science, Business Process Management, 2024, Page(s) 20-37
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-41620-0_2

Constructing Digital Twins for Accurate and Reliable What-If Business Process Analysis

Auteurs: Marlon Dumas
Publié dans: Proceedings of the International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), 2021
Éditeur: CEUR-WS.org

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Auteurs: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Publié dans: Proceedings of the 3rd International Conference on Process Mining (ICPM'2021), 2021, Page(s) 96-103, ISBN 978-1-6654-3514-7
Éditeur: IEEE
DOI: 10.1109/icpm53251.2021.9576853

Redesigning Business Processes to Reduce Waiting Times Using Large Language Models

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas
Publié dans: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Numéro Vol 3758, 2024
Éditeur: CEUR-WS Proceedings

Kronos: Discovery and Analysis of Waiting Time Causes

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Publié dans: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Numéro Vol 8976, 2023
Éditeur: CEUR-WS.org

Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs

Auteurs: Volodymyr Leno, Stanislav Deviatykh, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
Publié dans: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), 2020, Page(s) 102-106
Éditeur: CEUR-WS.org

Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning

Auteurs: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Publié dans: Proceedings of CAiSE 2022: International Conference on Advanced Information Systems Engineering, 2022, Page(s) 55-71, ISBN 978-3-031-07471-4
Éditeur: Springer Nature
DOI: 10.1007/978-3-031-07472-1_4

Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes

Auteurs: Mahmoud Shoush, Marlon Dumas
Publié dans: Proceedings of the 2nd International Workshop on Process Management in the AI Era (PMAI 2023) co-located with 31st International Joint Conference on Artificial Intelligence (IJCAI 2023), Numéro Vol 3569, 2023
Éditeur: CEUR-WS.org

Analysis templates for identifying improvement opportunities with process mining

Auteurs: Katsiaryna Lashkevich, Fredrik Milani, Nadiia Danylyshyn
Publié dans: European Conference on Information Systems (ECIS), 2023
Éditeur: Association for Information Systems

dynamik: A Tool for Performance Drift Detection inBusiness Processes

Auteurs: Víctor Gallego-Fontenla, Fredrik Milani, Marlon Dumas
Publié dans: Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), Numéro Volume 3783, 2024
Éditeur: CEUR-WS.org

Kairos: A Tool for Prescriptive Monitoring of Business Processes. ICPM Doctoral Consortium / Demo 2023

Auteurs: Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu
Publié dans: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Numéro Volume 3648, 2023
Éditeur: CEUR-WS.org

Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling

Auteurs: Gamal Elkoumy, Marlon Dumas
Publié dans: 2022 4th International Conference on Process Mining (ICPM), 2023, Page(s) 144-151
Éditeur: IEEE
DOI: 10.1109/icpm57379.2022.9980619

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs

Auteurs: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Publié dans: 2020 2nd International Conference on Process Mining (ICPM), 2020, Page(s) 129-136, ISBN 978-1-7281-9832-3
Éditeur: IEEE
DOI: 10.1109/icpm49681.2020.00028

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach

Auteurs: Mahmoud Shoush, Marlon Dumas
Publié dans: Proceedings of the Workshops of the International Conference on Process Mining (ICPM Workshops'2021), 2021, Page(s) 180-193, ISBN 978-3-030-98580-6
Éditeur: Springer Verlag
DOI: 10.1007/978-3-030-98581-3_14

Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs

Auteurs: Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
Publié dans: 2020 2nd International Conference on Process Mining (ICPM), 2020, Page(s) 153-160, ISBN 978-1-7281-9832-3
Éditeur: IEEE
DOI: 10.1109/icpm49681.2020.00031

Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars

Auteurs: Orlenys López-Pintado, Marlon Dumas
Publié dans: 2023 5th International Conference on Process Mining (ICPM), 2023, Page(s) 1-8
Éditeur: IEEE
DOI: 10.1109/icpm60904.2023.10271965

Silhouetting the Cost-Time Front: Multi-objective Resource Optimization in Business Processes

Auteurs: Orlenys López-Pintado, Marlon Dumas, Maksym Yerokhin, Fabrizio Maria Maggi
Publié dans: Proceedings of the Forum of the 2021 International Conference on Business Process Management (BPM Forum), 2021, Page(s) 92-108, ISBN 978-3-030-85439-3
Éditeur: Springer Verlag
DOI: 10.1007/978-3-030-85440-9_6

Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining

Auteurs: Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Publié dans: Proceedings of the 3rd International Conference on Process Mining (ICPM'2021), 2021, Page(s) 80-87, ISBN 978-1-6654-3514-7
Éditeur: IEEE
DOI: 10.1109/icpm53251.2021.9576852

Discovery and Simulation of Data-Aware Business Processes

Auteurs: Orlenys López-Pintado, Serhii Murashko, Marlon Dumas
Publié dans: 2024 6th International Conference on Process Mining (ICPM), 2024, Page(s) 105-112
Éditeur: IEEE
DOI: 10.1109/icpm63005.2024.10680675

Automated Discovery of Data Transformations for Robotic Process Automation

Auteurs: Volodymyr Leno; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi; Artem Polyvyanyy
Publié dans: Proceedings of the AAAI'2021 workshop on Intelligent Process Automation, 2021
Éditeur: Arxiv
DOI: 10.5281/zenodo.6481880

Optimos: A Tool for Simulation-Driven Business Process Optimization

Auteurs: Orlenys López-Pintado, Jannis Rosenbaum, Jonas Berx, Marlon Dumas
Publié dans: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Numéro Vol 3758, 2024
Éditeur: CEUR-WS.org

Modeling Extraneous Activity Delays in Business Process Simulation

Auteurs: David Chapela-Campa, Marlon Dumas
Publié dans: 2022 4th International Conference on Process Mining (ICPM), 2023, Page(s) 72-79
Éditeur: IEEE
DOI: 10.1109/icpm57379.2022.9980544

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