IDEAS home Printed from https://ideas.repec.org/a/anm/alpnmr/v4y2016i2p171-182.html
   My bibliography  Save this article

Analysis of Volvo IT's Closed Problem Management Processes By Using Process Mining Software ProM and Disco

Author

Listed:
  • Ufuk Çelik
  • Eyüp Akçetin
  • Abdulkadir Yaldır

Abstract

In this study, the event logs for closed problems which was created by Volvo IT Belgium for the Business Process Intelligence Challenge in 2013 are evaluated by using Process Mining software. One of these software (ProM) is an open source program and the other (Disco) is a commercial product. Commercial application is available as a full version with academic license. Observed event logs record consist of 6660 units. This case study described the logic of the process of mining programs and issues in problem solving stage of the Volvo Company are illustrated. In this analysis, ping-pong behavior in the processes, the product which has the most frequency and the employee who has the most duration for the processes have been revealed.

Suggested Citation

  • Ufuk Çelik & Eyüp Akçetin & Abdulkadir Yaldır, 2016. "Analysis of Volvo IT's Closed Problem Management Processes By Using Process Mining Software ProM and Disco," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(2), pages 171-182, December.
    • Handle: RePEc:anm:alpnmr:v:4:y:2016:i:2:p:171-182
    DOI: http://dx.doi.org/10.17093/alphanumeric.277741
    as

    Download full text from publisher

    File URL: https://www.alphanumericjournal.com/media/Issue/volume-4-issue-2-2016/analysis-of-volvo-its-closed-problem-management-processes-by_2XyrqcM.pdf
    Download Restriction: no
    File URL: https://alphanumericjournal.com/article/analysis-of-volvo-its-closed-problem-management-processes-by-using-process-mining-software-prom-and-disco/
    Download Restriction: no
    File URL: https://libkey.io/http://dx.doi.org/10.17093/alphanumeric.277741?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Business Intelligence; DISCO; Data Mining; ProM; Process Mining;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anm:alpnmr:v:4:y:2016:i:2:p:171-182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bahadir Fatih Yildirim (email available below). General contact details of provider: https://www.alphanumericjournal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.