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

被引：105

作者：

Azadi, Majid ^{[2
]}

Saen, Reza Farzipoor ^{[1
]}

机构：

[1] Islamic Azad Univ, Fac Management & Accounting, Dept Ind Management, Karaj Branch, Karaj, Iran

[2] Islamic Azad Univ, Sci & Res Branch, Fac Econ & Management, Tehran, Iran

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 10期

关键词：

Third-party reverse logistics (3PL) providers; Chance-constrained data envelopment analysis; Dual-role factors; PROGRAMMING APPROACH; EFFICIENCY; MODEL; DEA;

D O I：

10.1016/j.eswa.2011.04.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：12231 / 12236

页数：6

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