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Felix Mannhardt

Research Scientist

Felix Mannhardt

Research Scientist

Felix Mannhardt
Phone: 401 06 958
Department: Technology Management
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1710489

In smart manufacturing environments sensors are collecting data about work processes. This data likely also contains references to actions of a single worker, which can be considered personal data. Privacy dashboards convey information on what personal data is stored by a system and provide means fo...

Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1754537

This paper demonstrates a detailed performance diagnosis of a production process. With limited investment power for new technologies, managers want to diagnose the reason for system underperformance, i.e. diagnosing performance gaps. This paper found detailed performance measures for specific produc...

Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1717399

Process mining reveals how processes in organisations are actually performed and pinpoints deviations from the desired process execution. Process delay is one type of deviation that can be detected. Specific activities may take longer than expected or the waiting times between activities may deviate...

Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1715884

The privacy of an organization's workers represents a crucial concern in process mining settings, where data on an individual's performance is recorded and possibly shared for analysis. To enable users to appropriately deal with privacy concerns in process mining, this paper introduces ELPaaS (Event...

Authors Bauer Martin Fahrenkrog-Petersen Stephan A. Koschmider Agnes Mannhardt Felix van der Aa Han Weidlich Matthias
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1710488

Privacy regulations for data can be regarded as a major driver for data sovereignty measures. A specific example for this is the case of event data that is recorded by information systems during the processing of entities in domains such as e-commerce or health care. Since such data, typically avail...

Authors Mannhardt Felix Koschmider Agnes Baracaldo Nathalie Weidlich Matthias Michael Judith
Year 2019
Type Journal publication