An integrated decision making approach for ERP system selection

被引:118
作者
Karsak, E. Ertugrul [1 ]
Ozogul, C. Okan [2 ]
机构
[1] Galatasaray Univ, Dept Ind Engn, TR-80840 Istanbul, Turkey
[2] HAVELSAN, TR-06520 Ankara, Turkey
关键词
Decision making; Quality function deployment; Fuzzy linear regression; Enterprise resource planning; Software selection; FUZZY; MODEL; ENTERPRISE; FRAMEWORK;
D O I
10.1016/j.eswa.2007.09.016
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Enterprise resource planning (ERP) systems have gained major prominence by enabling companies to streamline their operations, leverage and integrate business data process. In order to implement an ERP project successfully, it is necessary to select an ERP system which can be aligned with the needs of the company. Thus, a robust decision making approach for ERP software selection requires both company needs and characteristics of the ERP system and their interactions to be taken into account. This paper develops a novel decision framework for ERP software selection based on quality function deployment (QFD), fuzzy linear regression and zero-one goal programming. The proposed framework enables both company demands and ERP system characteristics to be considered, and provides the means for incorporating not only the relationships between company demands and ERP system characteristics but also the interactions between ERP system characteristics through adopting the QFD principles. The presented methodology appears as a sound investment decision making tool for ERP systems as well as other information systems. The potential use of the proposed decision framework is illustrated through an application. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:660 / 667
页数:8
相关论文
共 22 条
  • [1] Profile distance method- a multi-attribute decision making approach for information system investments
    Bernroider, Edward W. N.
    Stix, Volker
    [J]. DECISION SUPPORT SYSTEMS, 2006, 42 (02) : 988 - 998
  • [2] Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods
    Chan, LK
    Kao, HP
    Ng, A
    Wu, ML
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (11) : 2499 - 2518
  • [3] Fuzzy regression-based mathematical programming model for quality function deployment
    Chen, Y
    Tang, J
    Fung, RYK
    Ren, Z
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (05) : 1009 - 1027
  • [4] Chun-Chin Wei, 2004, International Journal of Project Management, V22, P161, DOI 10.1016/S0263-7863(02)00064-9
  • [5] Davenport TH, 1998, HARVARD BUS REV, V76, P121
  • [6] Fisher DM, 2004, J COMPUT INFORM SYST, V45, P38
  • [7] HAUSER JR, 1988, HARVARD BUS REV, V66, P63
  • [8] Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment
    Karsak, EE
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2004, 47 (2-3) : 149 - 163
  • [9] Fuzzy multicriteria models for quality function deployment
    Kim, KJ
    Moskowitz, H
    Dhingra, A
    Evans, G
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2000, 121 (03) : 504 - 518
  • [10] Kremzar M.H., 2001, ERP MAKING IT HAPPEN