Logo des Repositoriums

Auflistung nach Autor:in "Pufahl, Luise"

1 - 6 von 6
  • Zeitschriftenartikel
    Automating Data Exchange in Process Choreographies.
    (EMISA Forum: Vol. 36, No. 2, 2016) Fahland, Dirk; Meyer, Andreas; Pufahl, Luise; Batoulis, Kimon; Weske, Mathias
  • Zeitschriftenartikel
    Batch Processing across multiple Business Process based on Object Life Cycle.
    (EMISA Forum: Vol. 37, No. 1, 2017) Pufahl, Luise; Weske, Mathias
  • Zeitschriftenartikel
    Batching vs. Non-batching in Business Processes.
    (EMISA Forum: Vol. 38, No. 1, 2018) Pufahl, Luise; Martin, Niels
  • Konferenzbeitrag
    The Business Process Technology Research Group
    (40 Years EMISA 2019, 2020) Pufahl, Luise; Weske, Mathias
    In this paper the Business Process Technology research group at the Hasso Plattner Institut, University of Potsdam and its relevance for the EMISA special interest group is presented. The paper starts by reviewing the main research areas and contributions to the research community the group has provided, before sketching some of the current research topics the group is working on. In addition to the conceptual research results, the prototypes developed by BPT in the context of the BPT architecture are introduced, which relate to process modeling, event processing, and process execution.
  • Textdokument
    Process Mining Meets Visual Analytics
    (EMISA 2024, 2024) Pufahl, Luise; Grohs, Michael; Klein, Lisa-Marie; Rehse, Jana-Rebecca
    This extended abstract summarizes a study on the visualization of conformance checking results in process mining, presented at HICSS 2023. Conformance checking compares intended and actual business process behaviors using IT system logs. Our study examined the visualization features of both academic and commercial process mining tools. We found these tools offer visualizations for quantifying conformance, breaking it down, localizing, and explaining deviations. However, there is a need for structured research on process analysts' visualization needs and the interaction between data, analysts, and visualizations.
  • Konferenzbeitrag
    Selecting event monitoring points for optimal prediction quality
    (EMISA 2012 – Der Mensch im Zentrum der Modellierung, 2012) Rogge-Solti, Andreas; Herzberg, Nico; Pufahl, Luise
    Organizations strive to optimize their business processes in order to satisfy customer requirements and internal goals. A basic necessity in order to meet time and quality objectives is to monitor an organization's business processes. Process monitoring makes their execution more transparent and allows to react to observed deviations with corrective actions. This paper focuses on monitoring processes in manual or semi-automatic environments, where the installation of each monitoring point is costly, as it requires effort to measure and record observed progress. During process execution, the allocation of event monitoring points (EMPs) is restricted to certain positions, e.g., the termination of activities. We propose an approach for optimizing the allocation model of EMPs in order to improve the estimation quality. We implemented this approach and show its applicability in a case study of a Dutch hospital for its surgical care process.