Volume 8 Number 8 (Aug. 2013)
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JSW 2013 Vol.8(8): 1943-1951 ISSN: 1796-217X
doi: 10.4304/jsw.8.8.1943-1951

ERP System Flexibility Measurement Based on Fuzzy Analytic Network Process

Xiaoguang Zhou1, Bo Lv1, Mi Lu2
1Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing, China
2Dept. of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

Abstract—To meet the changes of internal and external environment, Enterprise Resources Planning (ERP) system needs to have a good flexibility. Flexibility is an indispensable request and is also a way that must be taken during the establishment process of ERP. Flexibility measurement is an important item for the implementation of ERP flexibility. According to the characteristics of ERP system, an index system for flexibility measurement of ERP system is presented with the interdependence and feedback relationships among criteria and/or indices being taken into account. Due to the vagueness and uncertainty information during the process of flexibility measurement, triangular fuzzy numbers are used to indicate the preference opinions of experts and decision makers. A flexibility measurement model of ERP system based on fuzzy analytic network process (FANP) is proposed. The local weights of criteria and indices are derived by fuzzy preference programming (FPP) method. An unweighted supermatrix based on the network structure of index system is developed, and the limit supermatrix is generated. The flexibility level of ERP system can be measured by the weights and scores of ERP. Finally, a case is given by the proposed method.

Index Terms—Fuzzy analytic network process, ERP, flexibility measurement, fuzzy preference programming.


Cite: Xiaoguang Zhou, Bo Lv, Mi Lu, "ERP System Flexibility Measurement Based on Fuzzy Analytic Network Process," Journal of Software vol. 8, no. 8, pp. 1943-1951, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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