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Auflistung nach Autor:in "Herzberg, Nico"

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  • Konferenzbeitrag
    BPMN extension for business process monitoring
    (Enterprise modelling and information systems architectures - EMISA 2014, 2014) Baumgraß, Anne; Herzberg, Nico; Meyer, Andreas; Weske, Mathias
    The execution of business processes generates a lot of data representing happenings (also called events) that may be utilized for process monitoring and analysis. This, however, is not supported by typical Business Process Management Systems (BPMSs). Especially, in manual executing business process environments, i.e., not driven by a BPMS, the correlation of events to processes for monitoring and analysis is not trivial. At design-time, Process Event Monitoring Points are used in process models to specify the locations, where particular events are expected. Therewith, occurring events can be assigned to a process during run-time. In this paper, we introduce an extension to BPMN, which implements this connection between process models and events. We show applicability of this extension by applying it to a logistics scenario taken from an EU project.
  • 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.