• DocumentCode
    711940
  • Title

    Implementation of Enterprise Resource Planning Using the Value Engineering and System Dynamics Methods

  • Author

    Jung-Hsing Lee, Larry ; Jun-Der Leu ; Yi-Wei Huang

  • Author_Institution
    Dept. of Bus. Adm., Nat. Central Univ., Jhongli, Taiwan
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    764
  • Lastpage
    768
  • Abstract
    The Enterprise Resource Planning (ERP) system is an integrated software package applied by many enterprises as an operations platform over the past years. However, according to an industrial survey, the failure rate of ERP system implementation is relatively high because of high implementation costs and long implementation time, incapable implementation teams, process misfits, resistance to change and inadequate training. This paper proposes a Value Engineering (VE)-based framework that combines the System Dynamics (SD) method to support implementation of ERP systems. Within the framework, VE is a systematic, functionally oriented method for generating decision alternatives, whereas SD can simulate the possible outcomes in terms of the generated decision alternatives so that a suitable strategic decision for the ERP implementation can be evaluated and selected. The proposed method is applied to a SAP R/3 implementation case in the manufacturing industry. The application case shows that the method can achieve a positive result indicating the high value-added output of ERP systems implementation.
  • Keywords
    enterprise resource planning; software packages; value engineering; ERP system; SD method; VE-based framework; decision alternatives; enterprise resource planning; functionally oriented method; integrated software package; strategic decision; system dynamics methods; value engineering; Accuracy; Analytical models; Biological system modeling; Companies; Training; Enterprise Resource Planning (ERP); System Dynamics (SD); Value Engineering (VE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.176
  • Filename
    7120716