• DocumentCode
    2221397
  • Title

    Performance analysis for Enterprise Resource Planning systems

  • Author

    Chen, S.G. ; Lin, Y.K.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Tungnan Univ., Taipei, Taiwan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    63
  • Lastpage
    67
  • Abstract
    An enterprise resource planning (ERP) system is a complex network composed of various business processes. This paper proposes methods based on stochastic-flow network model to analysis the capacity sensitivity of persons with respect to the performance of an ERP system. The nodes in the network denote the persons responsible for the business tasks during the processes. The arcs between nodes denote the process precedence relationships in the ERP system. The performance of an ERP system is then related to the flow of the documents through the network. To analyze the person¿s impact against the system performance, the increasing-capacity contributivity analysis and the decreasing-capacity impairment analysis are conducted. Some interesting findings are obtained. For example, the strategy of increasing capacity will not promise to contribute performance. However, the strategy of decreasing capacity will also not always to impair performance. Numerical examples for these analyses are illustrated in this paper.
  • Keywords
    business process re-engineering; enterprise resource planning; business processes; decreasing-capacity impairment analysis; enterprise resource planning systems; increasing-capacity contributivity analysis; performance analysis; stochastic-flow network model; Complex networks; Costs; Engineering management; Enterprise resource planning; Investments; Performance analysis; Resource management; Sensitivity analysis; System performance; Technology management; Contributivity analysis; enterprise resource planning system; sensitivity analysis; stochastic-flow network; system performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737833
  • Filename
    4737833