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

Majid Azadi; Reza Farzipoor Saen

doi:10.1016/j.eswa.2011.04.001

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

Majid Azadi, Reza Farzipoor Saen

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

118 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	12231-12236
Number of pages	6
Journal	Expert Systems with Applications
Volume	38
Issue number	10
DOIs	https://doi.org/10.1016/j.eswa.2011.04.001
Publication status	Published - Sept 15 2011

Keywords

Chance-constrained data envelopment analysis
Dual-role factors
Third-party reverse logistics (3PL) providers

ASJC Scopus subject areas

General Engineering
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2011.04.001

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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

Abstract

Keywords

ASJC Scopus subject areas

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