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
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