Data-Driven Process Control and Exception Handling in Process Management Systems

S.B. Rinderle, M.U. Reichert

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

    26 Citations (Scopus)

    Abstract

    Business processes are often characterized by high variability and dynamics, which cannot be always captured in contemporary process management systems (PMS). Adaptive PMS have emerged in recent years, but do not completely solve this problem. In particular, users are not adequately supported in dealing with real–world exceptions. Exception handling usually requires manual interactions and necessary process adaptations have to be defined at the control flow level. Altogether, only experienced users are able to cope with these tasks. As an alternative, changes on process data (elements) can be more easily accomplished, and a more data–driven view on (adaptive) PMS can help to bridge the gap between real–world processes and computerized ones. In this paper we present an approach for data–driven process control allowing for the automated expansion and adaptation of task nets during runtime. By integrating and exploiting context information this approach further enables automated exception handling at a high level and in a user–friendly way. Altogether, the presented work provides an added value to current adaptive PMS.
    Original languageEnglish
    Title of host publicationProceedings 18th International Conference on Advanced Information Systems Engineering (CAiSE 2006)
    EditorsE. Dubois, K. Pohl
    Place of PublicationBerlin, Heidelberg, New York
    PublisherSpringer
    Pages273-287
    Number of pages15
    ISBN (Print)978-3-540-34652-4
    DOIs
    Publication statusPublished - Jun 2006
    Event18th International Conference on Advanced Information Systems Engineering, CAiSE 2006 - Luxembourg, Luxembourg
    Duration: 5 Jun 20069 Jun 2006
    Conference number: 18

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Number2
    Volume4001

    Conference

    Conference18th International Conference on Advanced Information Systems Engineering, CAiSE 2006
    Abbreviated titleCAiSE
    CountryLuxembourg
    CityLuxembourg
    Period5/06/069/06/06

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    Keywords

    • SCS-Services
    • IR-63203
    • METIS-238109
    • EWI-6193

    Cite this

    Rinderle, S. B., & Reichert, M. U. (2006). Data-Driven Process Control and Exception Handling in Process Management Systems. In E. Dubois, & K. Pohl (Eds.), Proceedings 18th International Conference on Advanced Information Systems Engineering (CAiSE 2006) (pp. 273-287). [10.1007/11767138_19] (Lecture Notes in Computer Science; Vol. 4001, No. 2). Berlin, Heidelberg, New York: Springer. https://doi.org/10.1007/11767138_19