• DocumentCode
    2463661
  • Title

    Business process modeling for post execution analysis and improvement

  • Author

    Lodhi, Azeem ; Köppen, Veit

  • Author_Institution
    Dept. of Tech. & Bus. Inf. Syst., Univ. of Magdeburg, Magdeburg, Germany
  • fYear
    2011
  • fDate
    8-11 Sept. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Evaluation and analysis of business processes are important for improvement of business processes. Business process modeling is used as a medium of communication between stakeholders. Most of the research in business process modeling is focused on alignment of information technology services and business operations. Existing process models lack the representation of performance data for evaluation and analysis. The process models conceived for information system development are not sufficient for such representation. This paper discusses the challenges of business process modeling in the post execution analysis context and describes the characteristics of an analytical modeling language. Furthermore, we also extend an existing modeling language and explain the proposed extensions with the help of a case study.
  • Keywords
    business data processing; simulation languages; analytical modeling language characteristics; business operations; business process modeling; information technology services; post execution analysis; Adaptation models; Analytical models; Business; Computational modeling; Context; Data models; Process control; analytical modeling language; business process analysis; business process modeling; improvement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Knowledge Information, Industrial Management and Applications (SKIMA), 2011 5th International Conference on
  • Conference_Location
    Benevento
  • Print_ISBN
    978-1-4673-0247-0
  • Type

    conf

  • DOI
    10.1109/SKIMA.2011.6089982
  • Filename
    6089982