An approach for workflow improvement based on outcome and time remaining prediction

Luis Galdo Seara, Renata Medeiros De Carvalho

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

    1 Downloads (Pure)

    Abstract

    Some business processes are critical to organizations. The efficiency at which involved tasks are performed define the quality of the organization. Detecting where bottlenecks occur during the process and predicting when to dedicate more resources to a specific case can help to distribute the work load in a better way. In this paper we propose an approach to analyze a business process, predict the outcome of new cases and the time for its completion. The approach is based on a transition system. Two models are then developed for each state of the transition system, one to predict the outcome and another to predict the time remaining until completion. We experimented with a real life dataset from a financial department to demonstrate our approach.

    Original languageEnglish
    Title of host publicationMODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development
    EditorsSlimane Hammoudi, Bran Selic, Luis Ferreira Pires
    Place of PublicationSetúbal
    PublisherSCITEPRESS-Science and Technology Publications, Lda.
    Pages475-482
    Number of pages8
    ISBN (Electronic)978-989-758-358-2
    DOIs
    Publication statusPublished - 1 Jan 2019
    Event7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019 - Prague, Czech Republic
    Duration: 20 Feb 201922 Feb 2019

    Conference

    Conference7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019
    CountryCzech Republic
    CityPrague
    Period20/02/1922/02/19

    Keywords

    • Data Mining
    • Outcome Prediction
    • Process Mining
    • Time Remaining Prediction
    • Transition Systems

    Fingerprint Dive into the research topics of 'An approach for workflow improvement based on outcome and time remaining prediction'. Together they form a unique fingerprint.

    Cite this