• DocumentCode
    2001954
  • Title

    A Petri-net based approach to performance management of collaborative business processes

  • Author

    Mevius, Marco ; Oberweis, Andreas

  • Author_Institution
    Inst. for Appl. Informatics & Formal Description Methods, Karlsruhe Univ., Germany
  • fYear
    2005
  • fDate
    22-26 Aug. 2005
  • Firstpage
    987
  • Lastpage
    991
  • Abstract
    Performance management of collaborative business processes refers to the modeling, analyzing and monitoring of interrelated production, logistics and information processes on an operational level. In this context it is essential to figure out how critical situations can be detected in time, and how important changes can be discovered as early as possible. In particular analyzing potential exceptional states of performance indicators and matching counter measures in target-oriented simulation scenarios before implementing collaborative business processes is not supported by the current approaches. In this paper, we present a process-oriented approach to performance management of collaborative business processes, based on high-level Petri nets. By employing Petri-nets performance management as a whole can be improved. We will also demonstrate the modules and basic functions of a Petri net-based, software prototype, called INCOME2010 designed to support the complete process life cycle of process-oriented performance management.
  • Keywords
    Petri nets; business data processing; groupware; software prototyping; INCOME2010 software prototype; Petri-net; collaborative business process; information process; performance indicator; performance management; process-oriented approach; Analytical models; Collaboration; Counting circuits; Current measurement; Information analysis; Logistics; Monitoring; Particle measurements; Performance analysis; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2424-9
  • Type

    conf

  • DOI
    10.1109/DEXA.2005.26
  • Filename
    1508403