A decision model for selecting third-party reverse logistics providers in the presence of both dual-role factors and imprecise data

Reza Farzipoor Saen

doi:10.1142/S0217595911003156

A decision model for selecting third-party reverse logistics providers in the presence of both dual-role factors and imprecise data

Reza Farzipoor Saen

Operations Management & Business Statistics

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

35 Citations (Scopus)

Abstract

This paper introduces a model for dealing with selecting third-party reverse logistics (3PL) providers in the presence of both dual-role factors and imprecise data. The proposed model is based on data envelopment analysis (DEA). A numerical example demonstrates the application of the proposed method.

Original language	English
Pages (from-to)	239-254
Number of pages	16
Journal	Asia-Pacific Journal of Operational Research
Volume	28
Issue number	2
DOIs	https://doi.org/10.1142/S0217595911003156
Publication status	Published - Apr 2011

Keywords

3PL provider
Data envelopment analysis
dual-role factors
imprecise data
third-party reverse logistics provider

ASJC Scopus subject areas

Management Science and Operations Research

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10.1142/S0217595911003156

Cite this

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A decision model for selecting third-party reverse logistics providers in the presence of both dual-role factors and imprecise data

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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