A Decision Model for Selecting Third-Party Reverse Logistics Providers in the Presence of both Dual-Role Factors and Imprecise Data

No Thumbnail Available
File version
Author(s)
Saen, Reza Farzipoor
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2011
Size
File type(s)
Location
License
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.

Journal Title

Asia-Pacific Journal of Operational Research

Conference Title
Book Title
Edition
Volume

28

Issue

2

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Commerce, Management, Tourism and Services not elsewhere classified

Applied Mathematics

Computation Theory and Mathematics

Business and Management

Persistent link to this record
Citation
Collections