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     Research Journal of Applied Sciences, Engineering and Technology


Supplier Selection in Textile Industry Using Fuzzy MADM

1Mohammad Mokhtari, 2Hassan Javanshir, 3Mehdi Kamali Dolatabadi, 4Laleh Tashakori and 5Faraz Madanchi
1Department of Textile Engineering, Islamic Azad University, Science and Research Branch
2Department of Industrial Engineering, Islamic Azad University, South Tehran Branch
3Department of Textile, Islamic Azad University, Science and Research Branch
4Institute of Toba Higher Educational Studies
5Department of Textile Industry, Amirkabir University, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  3:400-411
http://dx.doi.org/10.19026/rjaset.6.4093  |  © The Author(s) 2013
Received: July 31, 2012  |  Accepted: September 12, 2012  |  Published: June 15, 2013

Abstract

Supplier selection, Inventory control and economy order quantity is always 1 of the most important issues in manufacturing industries and textile industry is no exception. Unfortunately traditional performances of some managers in this industry have led to bankrupting and closuring of some factories. In this study, we use fuzzy Delphi, fuzzy AHP and VIKOR under fuzzy environment as a decision tool to supplier selection. The aim of this study is develop a model with high reliability for supplier selection in textile industry. From fuzzy Delphi we extracted five essential criteria and with fuzzy AHP we weight these criteria and with VIKOR under fuzzy environment we choose the best suppliers. We construct a questionnaire for fuzzy AHP and VIKOR that it’s not needed to notice cost orientation or benefit orientation of criteria. Our finding shows that five criteria; quality, location, cost, trust and delivery are the most effective criteria in textile supplier selection area. According to our proposed method suppliers $s_9, s_{15}, s_{16}, s_4, s_5$ are the best supplier.

Keywords:

Fuzzy logic, fuzzy Delphi, fuzzy AHP, fuzzy VIKOR, supplier selection, textile industry,


References


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.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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