Selection of third-party reverse logistics providers for End-of-Life computers using TOPSIS-AHP based approach

Business organisations including those of computer companies would like to focus on their core competency areas and are, therefore, outsourcing all or part of their reverse logistics process to Third-Party Logistics Providers (3PLPs). Thus, a key strategic issue for top management is the selection of 3PLPs who can effectively provide reverse logistics services to organisation. This study aims to efficiently assist the decision-makers in determining the most appropriate third-party reverse logistics provider using a combination of Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. A numerical example from a case company is included to demonstrate the steps of the proposed model.

[1]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[2]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[3]  Surendra M. Gupta,et al.  ENVIRONMENTAL CONCERNS AND RECYCLING/DISASSEMBLY EFFORTS IN THE ELECTRONICS INDUSTRY , 1997 .

[4]  Beth M Schwartz REVERSE LOGISTICS STRENGTHENS SUPPLY CHAINS , 2000 .

[5]  S. Johnson,et al.  Improving environmental performance through reverse logistics at IBM(R) , 2001, Proceedings of the 2001 IEEE International Symposium on Electronics and the Environment. 2001 IEEE ISEE (Cat. No.01CH37190).

[6]  A. Michael Knemeyer,et al.  A qualitative examination of factors affecting reverse logistics systems for end‐of‐life computers , 2002 .

[7]  Surendra M. Gupta,et al.  ECONOMIC SENSITIVITY FOR END OF LIFE PLANNING AND PROCESSING OF PERSONAL COMPUTERS , 2002 .

[8]  A. Tan,et al.  Improving the performance of a computer company in supporting its reverse logistics operations in the Asia‐Pacific region , 2003 .

[9]  Eric Masanet,et al.  Product recovery with some byte: an overview of management challenges and environmental consequences in reverse manufacturing for the computer industry , 2003 .

[10]  Angappa Gunasekaran,et al.  3PL: experiences from China resources logistics (Hong Kong) , 2004 .

[11]  Manoj Kumar Tiwari,et al.  Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach , 2005, Comput. Ind. Eng..

[12]  M. Sadiq Sohail,et al.  Comparing third party logistics usage in the service and manufacturing industries: a Saudi Arabian perspective , 2006 .

[13]  L. Foulds,et al.  Value-added services for sustainable third-party warehousing , 2006 .

[14]  Martin Spring,et al.  Third party logistics : a literature review and research agenda , 2007 .

[15]  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).

[16]  Alessandro Persona,et al.  Logistics outsourcing: an examination of third-party providers , 2007 .

[17]  Meng Xiangru,et al.  Study of Evaluation and Selection on Third Party Reverse Logistics Providers , 2008, 2008 International Seminar on Business and Information Management.

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

[19]  Ke Wang,et al.  Fuzzy multi-object model and solution to design logistics facility network for 3PLS , 2008, 2008 IEEE International Conference on Automation and Logistics.

[20]  S. Mitra,et al.  Key Success Factors, Performance Metrics, and Globalization Issues in the Third-Party Logistics (3PL) Industry: A Survey of North American Service Providers , 2008 .

[21]  Fanhua Meng,et al.  Application of SVM Based on Rough Set in 3PLs Provider Selection , 2008, 2008 International Conference on Computer Science and Software Engineering.

[22]  Manoj Kumar Tiwari,et al.  Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach , 2008 .

[23]  Selçuk Perçin,et al.  Evaluation of third‐party logistics (3PL) providers by using a two‐phase AHP and TOPSIS methodology , 2009 .

[24]  Dinesh Kumar,et al.  Selection of Logistics Services Provider (LSP) under fuzzy environment: a graph-theoretic and matrix approach , 2009 .

[25]  G. Kannan,et al.  Fuzzy approach for the selection of third party reverse logistics provider , 2009 .

[26]  Sharon M. Ordoobadi Outsourcing reverse logistics and remanufacturing functions: a conceptual strategic model , 2009 .

[27]  Shuyun Wang,et al.  Benchmarking model for reverse logistics entry by third-party providers , 2009, 2009 IEEE International Conference on Automation and Logistics.

[28]  Hilmi Yuksel An Analytical Hierarchy Process decision model for e-waste collection center location selection , 2009, 2009 International Conference on Computers & Industrial Engineering.

[29]  Shaligram Pokharel,et al.  A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider , 2009 .

[30]  S. Seuring,et al.  Environmental impacts as buying criteria for third party logistical services , 2010 .

[31]  Ajoy Kumar Dey,et al.  An analytical approach for selection of a logistics provider , 2010 .

[32]  Xiangru Meng,et al.  Remanufacturing Network Analysis of Third-Party Reverse Logistics for Waste Household Appliances , 2010, 2010 International Conference on Management and Service Science.

[33]  A. Noorul Haq,et al.  A multi-criteria decision making methodology for the selection of reverse logistics operating modes , 2010 .

[34]  Reza Farzipoor Saen,et al.  A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors , 2010 .

[35]  Haifeng Guo LMI-Based H-infinity Control of CLSC Networks with the Third Party Reverse Provider , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.

[36]  Pradeep Kumar,et al.  Analytical modeling of third party service provider selection in lead logistics provider environments , 2010 .