A Mathematical Model for Selecting Third-Party Reverse Logistics Providers

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Title A Mathematical Model for Selecting Third-Party Reverse Logistics Providers
Author Farzipoor Saen, Reza
Journal Name International Journal of Procurement Management
Year Published 2009
Place of publication Switzerland
Publisher Inderscience
Abstract Generally, many optimisation models of Third-Party Reverse Logistics (3PL) provider selection assume that cardinal data, with less emphasis on ordinal data, exist. However, to select the best 3PL providers, this assumption is not realistic because ordinal data are vital. To deal with this difficulty and select the most efficient 3PL provider with the condition that both ordinal and cardinal data are present, a methodology which is based on Imprecise Data Envelopment Analysis (IDEA) is introduced. A numerical example demonstrates the application of the proposed method.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1504/IJPM.2009.023406
Copyright Statement Copyright 2009 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
Volume 2
Issue Number 2
Page from 180
Page to 190
ISSN 1753-8432
Date Accessioned 2010-08-13
Language en_AU
Faculty Griffith Business School
Subject Commerce, Management, Tourism and Services
URI http://hdl.handle.net/10072/34262
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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