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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

ERP Software Selection using IFS and GRA Methods

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Author Yucel Ozturkoglu, Ebru Esendemir
ISSN 2079-8407
On Pages 363-370
Volume No. 5
Issue No. 5
Issue Date June 1, 2014
Publishing Date June 1, 2014
Keywords ERP, Intuitionistic fuzzy set, Grey relational analysis, Decision models


Enterprise resource planning (ERP) is like a modular, generic software package integrating the flow of information between departments in all logistics company. Furthermore extended ERP applications provide web-based connections between interdependent organizations like supply chain partners. In order to meet ever-changing needs of the logistics companies competing in dynamic environments, ERP vendors, regularly offer new business solutions or make modifications to the existing ones. Therefore companies have to decide on the suitable ERP software package meeting their acquirements from a diverse range of choices in the ERP market. Due to the failures resulting from misfit problems, ERP package selection is considered to be a strategic decision which has a significant effect on the company performance throughout the implementation stage. In this paper, we combine grey relational analysis (GRA) with an intuitionistic fuzzy set multi-criteria method (IFS) for selecting the ERP software selection process. First we obtain the weights with using IFS method and then rank and select the alternatives with using GRA. The real case study shows that proposed model significantly increase the efficiency of decision making procedure for the decision makers.

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