- Collaboration Petri Nets: Verification, Equivalence, and Discovery (Extended Version). 2024 more… BibTeX
- Evaluating BPMN Extensions for Continuous Processes Based on Use Cases and Expert Interviews. Business & Information Systems Engineering, 2024 more… BibTeX
- Model-driven Design and Automation of Process Orchestrations in Manufacturing. , Gesellschaft für Informatik e.V., 2024 more… BibTeX
- Model-Driven Engineering for Machine Learning Code Generation using SysML. , Gesellschaft für Informatik e.V., 2024 more… BibTeX
- A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas. 2023 more… BibTeX
- Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version. 2023 more… BibTeX
- Process Mining—Discovery, Conformance, and Enhancement of Manufacturing Processes. In: Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective. Springer, 2023, 363--383 more… BibTeX
- An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version. arXiv, 2023 more… BibTeX
- Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines. arXiv, 2023 more… BibTeX
- DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs. Future Internet 15 (3), 2023, 109 more… BibTeX
- Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions. arXiv, 2022, more… BibTeX
Austrian Center for Digital Production
The Austrian Center for Digital Production supports companies in the digitalization and automation of discrete manufacturing and production processes
Their focus is on small batch sizes and potentially high product variability, to enable digitalization particularly for small and medium-sized enterprises. For this purpose they combine expertise from mechanical engineering, computer science, product design as well as machine learning. This combination allows them to conduct application oriented research that meets the needs of industry.
Prof. Dr. S. Rinderle-Ma leads Area 3 on Process-Based Manufacturing Orchestration which focuses on serveral Topics:
- Manufacturing orchestration with modular process engine centorio.work
- Modeling, managing and executing mora than 16 manufacturing process orchestration scenarios across several companies
- enabling the contextualized and aggregated collection of data
- enabling the combined analysis, prediction and optimization of process event and sensor data during runtime
- keeping humans in the loop based on
- model-driven process development
- provision of root-cause analysis and recommendation of mitigation actions in case of compliance violations
- worker assistance measures
At our chair Dr. Juergen Mangler, Janik-Vasily Benzin, Simon Raedler, Matthias Ehrendorfer and Philip Mangelberger are involved in projects with the CDP.
Publications
Cooperation partners
- Beate Scheibel, Area 3 Manager, University Vienna and CDP, https://www.linkedin.com/in/beate-scheibel-582641204/
- Amolkirat Singh Mangat, Researcher, University Vienna and CDP, https://wst.cs.univie.ac.at/team/person/60588/
- Manuel Gall, Researcher, EVVA GmbH, https://twitter.com/Manuel__Gall
- Dr. Florian Pauker, Bereichsleiter ProdTEC, EVVA GmbH, https://www.linkedin.com/in/dr-florian-pauker-43b094124/