A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors

In traditional models of data envelopment analysis it is assumed that decision making units do not have dual-role factors. This paper proposes a model for selecting third-party reverse logistics (3PL) provider in the presence of multiple dual-role factors. A numerical example demonstrates the application of the proposed method.

[1]  Laura Meade,et al.  A conceptual model for selecting and evaluating third‐party reverse logistics providers , 2002 .

[2]  Hokey Min,et al.  Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis , 2006 .

[3]  Joe Zhu,et al.  Classifying inputs and outputs in data envelopment analysis , 2007, Eur. J. Oper. Res..

[4]  John E. Beasley,et al.  Comparing university departments , 1990 .

[5]  Ying Zhang,et al.  A Selection Approach of Reverse Logistics Provider Based on Fuzzy AHP , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[6]  Reza Farzipoor Saen,et al.  A mathematical model for selecting third-party reverse logistics providers , 2009 .

[7]  Frederic H. Murphy,et al.  MANAGING REVERSE LOGISTICS CHANNELS WITH DATA ENVELOPMENT ANALYSIS , 2003 .

[8]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[9]  Wenhuang Liu,et al.  An application of the AHP in 3PL vendor selection of a 4PL system , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[10]  Jie Cao,et al.  Integration of the Social Welfare Function and TOPSIS Algorithm for 3PL Selection , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[11]  Cai-Qing Zhang,et al.  The Reverse Logistics Evaluation Based on Kpca-Linmap Model , 2006, 2006 International Conference on Machine Learning and Cybernetics.

[12]  Joe Zhu,et al.  Dual-role factors in data envelopment analysis , 2006 .

[13]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[14]  P. Kumar,et al.  Selection of potential 3PL services providers using TOPSIS with interval data , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[15]  Justus M. van der Kroef.  Indonesia: Independent in the Cold War , 1952 .

[16]  Tugba Efendigil,et al.  A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness , 2008, Comput. Ind. Eng..

[17]  R. C. Baker,et al.  A multi-phase mathematical programming approach for effective supply chain design , 2002, Eur. J. Oper. Res..

[18]  J. Beasley.  Determining Teaching and Research Efficiencies , 1995 .

[19]  A. Rizzi,et al.  A fuzzy TOPSIS methodology to support outsourcing of logistics services , 2006 .