• DocumentCode
    2152174
  • Title

    Clustering of ERP business process fragments

  • Author

    Sarno, Riyanarto ; Ginardi, Hari ; Pamungkas, Endang Wahyu ; Sunaryono, Dwi

  • Author_Institution
    Inf. Dept., Inst. Teknol. Sepuluh Nopember, Surabaya, Indonesia
  • fYear
    2013
  • fDate
    19-21 Nov. 2013
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    Business process management technology at present has been developed and applied both in small and in large scale. Many companies and organizations use, for instance, Enterprise Resource Planning (ERP) or other business process-oriented system. In this paper, a clustering method in business process model based on its similarity is proposed. This clustering aims to group some similar business processes to form a common business process. A new business process, as a result, can be composed based on similar common business process in order to increase reusability. It is done according to similarity value among business processes that is by calculating the similarity based upon structural and behavioral similarity method. Meanwhile, the clustering process uses a graph partition approach. This research then shows that the clustering result of business process is precise at certain threshold value.
  • Keywords
    business data processing; enterprise resource planning; graph theory; pattern clustering; ERP business process fragment clustering; behavioral similarity; business process management technology; business process model; business process similarity value; business process-oriented system; enterprise resource planning; graph partition approach; reusability; similarity based clustering method; structural similarity; Analytical models; Clustering algorithms; Clustering methods; Companies; Indexes; Measurement; business process; clustering; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Control, Informatics and Its Applications (IC3INA), 2013 International Conference on
  • Conference_Location
    Jakarta
  • Type

    conf

  • DOI
    10.1109/IC3INA.2013.6819194
  • Filename
    6819194