A5068452240- Business Process Modeling and Analysis
- Artificial Intelligence in Games
- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
- Advanced Database Systems and Queries
- Manufacturing Process and Optimization
- Data Stream Mining Techniques
- Service-Oriented Architecture and Web Services
- Big Data and Business Intelligence
- Time Series Analysis and Forecasting
- Advanced Statistical Process Monitoring
- Scheduling and Optimization Algorithms
- Semantic Web and Ontologies
- Data Quality and Management
Technical University of Munich
2023
University of Vienna
2021-2023
TU Wien
2023
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), example, better track and control process executions. While IoT actuators can automatically trigger actions, sensors monitor the changes in environment humans involved processes. These produce large amounts discrete continuous data streams, which hold key understanding quality executed However, enable this understanding, it is needed have a joint representation generated by engine executing...
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing healthcare. community has a strong focus on hardware, connectivity data; the BPM focuses mainly finding, controlling, enhancing structured interactions among devices processes. While field of Mining deals with extraction process models analytics from event logs, data produced by sensors often is at lower granularity than these process-level events. fundamental...
Currently, there is a gap between how data collected on the shop floor based resources such as machines, robots, and Autonomous Guided Vehicles (AGVs) manufacturing orchestration software that sits above these controls their interaction from point of creation single products. Shop-floor create streams are saved in databases, cleaned, then re-contextualized, i.e., to connect orders, batches, New analysis prospects arise when integrating this methods with process-oriented perspective. This...
Currently, data collection on the shop floor is based individual resources such as machines, robots, and Autonomous Guided Vehicles (AGVs). There a gap between this approach manufacturing orchestration software that supervises process of creating single products controls ressources' interactions. This creates need to save resource-based streams in databases, clean it, then re-contextualize i.e., by connecting it orders, batches, products. Looking at from process-oriented analysis point view...