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Modelling and evaluation of time aspects in business processes

Author

Listed:
  • J Dehnert

    (Kommunikations- und Softwaretechnik, Technische Universität Berlin)

  • J Freiheit

    (Prozeßdatenverarbeitung und Robotik, Technische Universität Berlin)

  • A Zimmermann

    (Prozeßdatenverarbeitung und Robotik, Technische Universität Berlin)

Abstract

There is a need for modelling and performance evaluation techniques and tools for a fast and reliable design of workflow systems. This paper introduces a modelling methodology based on coloured stochastic Petri nets. It allows the integration of control flow, organizational, information related and timing aspects in one modelling framework. The processing delays include stochastic distributions in addition to deterministic times. Several workflows and the effects of constrained shared resources needed for different tasks can easily be described and analysed together. Control flow and organizational aspects are modelled separately in resource and workflow models. These models are automatically compiled into one model, which can then be used for qualitative analysis or performance evaluation. The proposed modelling and evaluation method is supported by the software tool TimeNET. An application example shows its use.

Suggested Citation

  • J Dehnert & J Freiheit & A Zimmermann, 2002. "Modelling and evaluation of time aspects in business processes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 1038-1047, September.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:9:d:10.1057_palgrave.jors.2601416
    DOI: 10.1057/palgrave.jors.2601416
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    Cited by:

    1. Doerner, Karl & Gutjahr, Walter J. & Kotsis, Gabriele & Polaschek, Martin & Strauss, Christine, 2006. "Enriched workflow modelling and Stochastic Branch-and-Bound," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1798-1817, December.
    2. Yianni, Panayioti C. & Neves, Luis C. & Rama, Dovile & Andrews, John D., 2018. "Accelerating Petri-Net simulations using NVIDIA Graphics Processing Units," European Journal of Operational Research, Elsevier, vol. 265(1), pages 361-371.

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