Developing a New Data Envelopment Analysis Methodology for Supplier Selection in the Presence of both Undesirable Outputs and Imprecise Data

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Title Developing a New Data Envelopment Analysis Methodology for Supplier Selection in the Presence of both Undesirable Outputs and Imprecise Data
Author Farzipoor Saen, Reza
Journal Name International Journal of Advanced Manufacturing Technology
Year Published 2010
Place of publication United Kingdom
Publisher Springer
Abstract Supplier selection plays a key role in an organization because the cost of raw material constitutes the main cost of the final product. Selecting an appropriate supplier is now one of the most important decisions of the purchasing department. This decision generally depends on a number of different criteria. The objective of this paper is to propose a data envelopment analysis methodology that considers both undesirable outputs and imprecise data simultaneously. The proposed model is applied in supplier selection problem. A numerical example demonstrates the application of the proposed method.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1007/s00170-010-2694-3
Copyright Statement Copyright 2010 Springer London. This is an electronic version of an article published in The International Journal of Advanced Manufacturing Technology, Volume 51, Numbers 9-12, 1243-1250. The International Journal of Advanced Manufacturing Technology is available online at: http://www.springerlink.com/ with the open URL of your article.
Volume 51
Issue Number 9-12
Page from 1243
Page to 1250
ISSN 0268-3768
Date Accessioned 2010-11-15
Date Available 2011-05-11T07:23:43Z
Language en_AU
Faculty Griffith Business School
Subject Logistics and Supply Chain Management
URI http://hdl.handle.net/10072/36485
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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