TY - JOUR
T1 - A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors
AU - Azadi, Majid
AU - Saen, Reza Farzipoor
PY - 2011/9/15
Y1 - 2011/9/15
N2 - 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.
AB - 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.
KW - Chance-constrained data envelopment analysis
KW - Dual-role factors
KW - Third-party reverse logistics (3PL) providers
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U2 - 10.1016/j.eswa.2011.04.001
DO - 10.1016/j.eswa.2011.04.001
M3 - Article
AN - SCOPUS:79958000938
SN - 0957-4174
VL - 38
SP - 12231
EP - 12236
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 10
ER -