Research Article | OPEN ACCESS
A Fuzzy TOPSIS based Approach for Distributor Selection in Supply Chain Management: An Empirical Study of an Agricultural Enterprise in China
1, 2Shi Haoran, 1Du Wen and 1Zhou Ling
1School of Transportation and Logistics, Southwest Jiaotong University, Chengdu,
Sichuan 610031, China
2School of Energy and Environment, Xihua University Chengdu, Sichuan 610039, China
Advance Journal of Food Science and Technology 2014 1:112-118
Received: September 09, 2013 | Accepted: September 18, 2013 | Published: January 10, 2014
Abstract
Distributor selection plays an important role in the supply chain management, particularly in the current competitive environment. The recent researches are mainly focused on the conceptual, descriptive and simulation. However, analyzing qualitative information is difficult by standard statistical analysis, which means that a proper quantitative method is desired for distributor selection in fuzzy environment. This study is an attempt to identify the factors which have impact on the distribution cost and the selection for better distributors in an agricultural enterprise in China based on fuzzy TOPSIS.
Keywords:
Agricultural enterprise, china, distributor selection, empirical study, fuzzy TOPSIS, quantitative study,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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