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A Fuzzy Mathematical Model for Multi Criteria Group Decision making-An Application in Supply Chain Management

by A. Uma Maheswari, P. Kumari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 7
Year of Publication: 2012
Authors: A. Uma Maheswari, P. Kumari
10.5120/8576-2314

A. Uma Maheswari, P. Kumari . A Fuzzy Mathematical Model for Multi Criteria Group Decision making-An Application in Supply Chain Management. International Journal of Computer Applications. 54, 7 ( September 2012), 5-10. DOI=10.5120/8576-2314

@article{ 10.5120/8576-2314,
author = { A. Uma Maheswari, P. Kumari },
title = { A Fuzzy Mathematical Model for Multi Criteria Group Decision making-An Application in Supply Chain Management },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 7 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number7/8576-2314/ },
doi = { 10.5120/8576-2314 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:04.053214+05:30
%A A. Uma Maheswari
%A P. Kumari
%T A Fuzzy Mathematical Model for Multi Criteria Group Decision making-An Application in Supply Chain Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 7
%P 5-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a Fuzzy Multi-Criteria Group Decision analysis approach for selecting supplier in a supply chain management. Supplier selection has attained supreme importance for companies in the current scenario because of increasing global competition. Proper selection of suppliers plays a crucial role on the overall performance of the company. The number of available alternatives in the current market is on a rise and hence it becomes difficult to select a supplier from a large lot. An attempt has been made to develop a new composite model using the Fuzzy method based on Schwartz Sequential Dropping method. Finally, an example based on a case study is given to demonstrate the procedure of the proposed methodology.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Supplier Selection Fuzzy Multi-Criteria Decision Making (FMCDM) Linguistic Variables Triangular Fuzzy Numbers (TFN)