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     Research Journal of Applied Sciences, Engineering and Technology


A Hybrid Model for Supplier Selection in Outsourcing: Evidence from Shima Film Company in Iran

1Arefe Fadavi, 1Ali Servati Khanghah and 2Mehrdad Nazari Asli
1Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2Department of Management, Qazvin-Imam Khomeini International University, Qazvin, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  12:3298-3305
http://dx.doi.org/10.19026/rjaset.5.4571  |  © The Author(s) 2013
Received: May 18, 2012  |  Accepted: June 12, 2012  |  Published: April 10, 2013

Abstract

Outsourcing is one of the important strategies acknowledged by firms recently. However, outsourcing needs a more intelligent and informed decisions in the organizations. In this study, we propose a new hybrid Multiple Criteria Decision-Making (MCDM) model, which addresses the dependent relationships between the various criteria. Decision-makers tend to hold diverse opinions about their preferences due to incomplete information and knowledge, or inherent conflict between various departments. We further used the fuzzy preference programming and the Analytic Network Process (ANP) to form a model for the selection of partners for outsourcing providers. The proposed model can help practitioners improve their decision making process, especially when criteria are numerous and inter-related. Finally, regarding the importance of subject, we will analyze the results while conducting a case study.

Keywords:

Fuzzy logic, MCDM, outsourcing, supplier selection,


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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