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A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors

journal contribution
posted on 2011-09-15, 00:00 authored by Majid Azadi, R F Saen
Outsourcing in logistics is a very significant theme and third-party reverse logistics (3PL) provider evaluation and selection has to be realized in a careful manner in order to provide the expected benefits. In this paper a new chance-constrained data envelopment analysis (CCDEA) approach is proposed to assist the decision makers to determine the most appropriate third-party reverse logistics (3PL) providers in the presence of both dual-role factors and stochastic data. A numerical example demonstrates the application of the proposed model. © 2010 Elsevier Ltd. All rights reserved.

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Journal

Expert Systems with Applications

Volume

38

Issue

10

Pagination

12231 - 12236

ISSN

0957-4174

Publication classification

C1.1 Refereed article in a scholarly journal

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