• DocumentCode
    1677988
  • Title

    Business activity monitoring solution to detect deviations in business process execution

  • Author

    Sebu, Maria Laura ; Ciocarlie, Horia

  • Author_Institution
    Comput. & Software Eng. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
  • fYear
    2015
  • Firstpage
    437
  • Lastpage
    442
  • Abstract
    Current paper proposes a custom solution for detecting deviations in process execution by analyzing event logs of running cases. The monitored business processes are extracted with process mining techniques. The behavior of the current alert system is illustrated on a case study, the event process logs resulted from the execution of a software development process used in the IT department of a large automotive company. Enhancing the level of control in project management activities, improving the business process execution by detecting deviations in real time and helping organizations to perform better by providing guidance to the people during task execution are the main reasons for designing the current solution. The statistical information about detected deviations represents the input for an analysis phase having as major scope business process improvements. The alert system was designed as a Web based application and is presented as a Business Activity Monitoring solution operating with process mining concepts.
  • Keywords
    Internet; automobile industry; business data processing; data mining; statistical analysis; IT department; Web based application; automotive company; business activity monitoring solution; business process execution; business process improvements; current alert system; event logs; process mining techniques; project management activities; software development process; statistical information; task execution; Computational intelligence; Data mining; Monitoring; Organizations; Project management; Software; business activity monitoring; operational support; process mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2015.7208243
  • Filename
    7208243