Coupling measurement of interorganizational processes based on petri nets

Zhi Jun Yan*, Tian Mei Wang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    Many research works have been done on the formal modeling and correctness analysis of interorganizational processes. But the coupling measurement of interorganizational processes is neglected. The coupling situation represents the adaptability and flexibility of interorganizational processes to the changing market environment. And it is one of the most important factors in the agility analysis of interorganizational processes. This paper discusses the coupling measurement technique of interorganizational business processes based on Petri nets. The formal definition of collaborative mesh is proposed. And the coupling intensity is presented to evaluate the coupling degree between process tasks and the process structure. It is calculated based on the relation between the related elements of the task and the whole process structure. Furthermore, the importance level of each business partner in the interorganizational process is analyzed.

    Original languageEnglish
    Title of host publicationProceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages591-595
    Number of pages5
    ISBN (Print)7560323553, 9787560323558
    DOIs
    Publication statusPublished - 2006
    Event2006 International Conference on Management Science and Engineering, ICMSE'06 - Lille, France
    Duration: 5 Oct 20067 Oct 2006

    Publication series

    NameProceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)

    Conference

    Conference2006 International Conference on Management Science and Engineering, ICMSE'06
    Country/TerritoryFrance
    CityLille
    Period5/10/067/10/06

    Keywords

    • Agility analysis
    • Coupling intensity
    • Interorganizational process
    • Petri nets

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