• DocumentCode
    2635770
  • Title

    Measuring Entropy in Business Process Models

  • Author

    Jung, Jae-Yoon

  • Author_Institution
    Dept of Ind. Eng., Kyung Hee Univ., Yongin
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    246
  • Lastpage
    246
  • Abstract
    Workflow process models contain information of tasks and the structures among them. Modeling business process reduces uncertainty of executing the process at run-time in that the model designates the set of executable tasks and control flows. In this research, we address the measurement of uncertainty or variability of workflow process models, through the concept of entropy. The entropy of business process models is a measure of quantifying the uncertainty of process execution. The uncertainty measurement of process models can be utilized to expect the difficulty of the resource assignment and workflow scheduling.
  • Keywords
    workflow management software; business process models; entropy; resource assignment; workflow process models; workflow scheduling; Dispatching; Entropy; Industrial engineering; Information theory; Job shop scheduling; Manufacturing systems; Measurement uncertainty; Runtime; Scheduling algorithm; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.350
  • Filename
    4603435