• A Framework to Navigate the Privacy Trade-offs for Human-Centred Manufacturing 

      Petersen, Sobah Abbas; Mannhardt, Felix; Oliveira, Manuel Fradinho; Torvatn, Hans Yngvar (Chapter, 2018)
      New technological advances can offer personalised and timely services for industry workers. Exoskeletons, HoloLens, Process Mining and Social Knowledge Networks are some of these services offered to workers by the EU HuMan ...
    • A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments 

      Mannhardt, Felix; Bovo, Riccardo; Oliveira, Manuel Fradinho; Julier, Simon (Journal article; Peer reviewed, 2018)
      Despite the increasing automation levels in an Industry 4.0 scenario, the tacit knowledge of highly skilled manufacturing workers remains of strategic importance. Retaining this knowledge by formally capturing it is a ...
    • Designing a Privacy Dashboard for a Smart Manufacturing Environment 

      Mannhardt, Felix; Oliveira, Manuel Fradinho; Petersen, Sobah Abbas (Peer reviewed; Journal article, 2020)
      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 ...
    • ELPaaS: Event Log Privacy as a Service 

      Bauer, Martin; Fahrenkrog-Petersen, Stephan A.; Koschmider, Agnes; Mannhardt, Felix; van der Aa, Han; Weidlich, Matthias (Peer reviewed; Journal article, 2019)
      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 ...
    • Estimating the Impact of Incidents on Process Delay 

      Mannhardt, Felix; Arnesen, Petter; Landmark, Andreas D. (International Conference on Process Mining (ICPM);2019, Chapter; Peer reviewed, 2019)
      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 ...
    • Event abstraction in process mining: literature review and taxonomy 

      van Zelst, Sebastiaan J.; Mannhardt, Felix; de Leoni, Massimiliano; Koschmider, Agnes (Peer reviewed; Journal article, 2020)
      The execution of processes in companies generates traces of event data, stored in the underlying information system(s), capturing the actual execution of the process. Analyzing event data, i.e., the focus of process mining, ...
    • Human in the Data-Driven Zero Defect Manufacturing Loop: Case Examples from Manufacturing Companies 

      Arica, Emrah; Oliveira, Manuel Fradinho; Pedersen, Torbjørn; Mannhardt, Felix; Myklebust, Odd (Chapter, 2023)
      Data-driven Zero Defect Manufacturing (ZDM) system gathers and organizes data from different sources, integrating and analyzing the data using different tools, with the purpose to react on potential quality issues before ...
    • Mining railway traffic control logs 

      Mannhardt, Felix; Landmark, Andreas D. (Journal article; Peer reviewed, 2019)
      Railway traffic is a set of interrelated processes that are centrally controlled. Despite optimized train schedules, train dispatchers still take ad-hoc decisions on the scheduling of trains in the context of unplanned ...
    • On the Contextualization of Event-Activity Mappings 

      Koschmider, Agnes; Mannhardt, Felix; Tobias, Heuser (Journal article; Peer reviewed, 2019)
      Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities ...
    • Privacy Challenges for Process Mining in Human-Centered Industrial Environments 

      Mannhardt, Felix; Petersen, Sobah Abbas; Oliveira, Manuel Fradinho (Chapter, 2018)
      Operators in industrial manufacturing environments are under pressure to cope with increasing flexibility and complexity of work. The automation of manufacturing requires operators to adopt new techniques and shifts the ...
    • Privacy Challenges for Process Mining in Human-Centered Industrial Environments 

      Mannhardt, Felix; Petersen, Sobah Abbas; Oliveira, Manuel Fradinho (Chapter, 2018)
      Operators in industrial manufacturing environments are under pressure to cope with increasing flexibility and complexity of work. The automation of manufacturing requires operators to adopt new techniques and shifts the ...
    • Privacy-Preserving Process Mining: Differential Privacy for Event Logs 

      Mannhardt, Felix; Koschmider, Agnes; Baracaldo, Nathalie; Weidlich, Matthias; Michael, Judith (Journal article; Peer reviewed, 2019)
      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 ...
    • Quantifying the Re-identification Risk of Event Logs for Process Mining 

      Nuñez von Voigt, Saskia; Fahrenkrog-Petersen, Stephan; Janssen, Dominik; Koschmider, Agnes; Tschorsch, Florian; Mannhardt, Felix; Landsiedel, Olaf; Weidlich, Matthias (Peer reviewed; Journal article, 2020)
      Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the actual process execution and enable reasoning ...
    • Revealing Work Practices in Hospitals Using Process Mining 

      Mannhardt, Felix; Toussaint, Pieter Jelle (Chapter, 2018)
      In order to improve health care processes (both in terms of quality and efficiency), we do need insight into how these processes are actually executed in reality. Interviewing health personnel and observing them in their ...
    • Smart Journey Mining for Improved Service Quality 

      Halvorsrud, Ragnhild; Mannhardt, Felix; Johnsen, Einar Broch; Tapia Tarifa, Silvia Lizeth (Chapter; Peer reviewed, 2021)
      This paper describes emergent challenges in extending and uniting research in service science and process mining. By combining formal representations of user journeys with process mining constructs, we aim to develop tools ...