Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 10, Pages 12231-12236Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.04.001
Keywords
Third-party reverse logistics (3PL) providers; Chance-constrained data envelopment analysis; Dual-role factors
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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. (C) 2011 Elsevier Ltd. All rights reserved.
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