Welcome

Welcome to the official homepage of the Business Process Management Research Cluster. We are part of the Quality Engineering (QE) research group and the Institute of Computer Science, located at the University of Innsbruck. As summarized in the research section, we are focusing on empirical methods to obtain in-depth understanding of how business processes can be effectively supported. If you have questions that go beyond the content of this homepage, feel free to contact us at any time.

The BPM Research Cluster Team



News

Visitor from Spain at the BPM Research Cluster

Victoria Torres from the PROS Research Center of the Universidad Politecnica de Valencia (UPV), Spain visited our team for 3 weeks. We had a very productive time during which we worked, together with Manfred Reichert from the University of Ulm, intensively on topics related to the management of business process variants throughout the entire process… [more]

Congratulations to Andrea Delgado Cavaliere for Defending her PhD Thesis

We would like to congratulate Andrea Delgado Cavaliere for defending her PhD thesis on “MINERVA: Model drIveN and sErvice oRiented framework for the continuous improVement of business process & relAted tools” at the University Castilla-La Mancha, Ciudad Real, Spain. The thesis of Andrea addresses with business process improvement a highly relevant topic in the area of business processes.… [more]

Congratulations to Irene Barba Rodríguez for Defending her PhD Thesis

We would like to congratulate Irene Barba Rodríguez for defending her PhD thesis on “Constraint-based Planning and Scheduling Techniques for the Optimized Management of Business Processes” at the University of Seville, Spain. The thesis of Irene addresses a highly relevant topic in the area of business processes which has obtained relatively little attention so far… [more]

The Process of Process Modeling

Process modeling has gained increasing importance for documenting business operations and automating workflow execution. However, process models display a wide range of quality problems impeding their comprehensibility and consequently hampering their maintainability. Literature reports, for example, error rates between 10% and 20% in industrial process model collections. Moreover, non-intention-revealing or inconsistent naming, redundant process fragments,… [more]

Visting Researcher: Andrés Jiménez Ramírez

Andrés Jiménez Ramírez from the University of Seville joins our team for three months. Andrés is working with us on multi-objective planning and scheduling techniques in the context of declarative processes. As a fan of Betis Sevilla he also agreed to support our football team with his superior dribbling skills.

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