A combination of Russell model and neutral DEA for 3PL provider selection

International Journal of Productivity and Quality Management

Volumn 10, Issue 1, 2012, Pages 25-39

  Azadi, Majid ^a   Zoroufchi, Kamyar Hosseinzadeh ^b   Saen, Reza Farzipoor ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Aggressive model; Benevolent model; Cross efficiency; Data envelopment analysis; Neutral DEA; Russell model; Third party reverse logistics (3PL) provider

Indexed keywords

EID: 84863638765     PISSN: 17466474     EISSN: 17466482     Source Type: Journal    
DOI: 10.1504/IJPQM.2012.047940     Document Type: Article

References (42)

1. Anderson, T. R., Hollingsworth, K. B. and Inman, L. B. (2002) 'The fixed weighting nature of a cross-evaluation model', Journal of Productivity Analysis, Vol. 18, No. 1, pp. 249-255. (Pubitemid 37131028)
2. Azadi, M. and Farzipoor Saen, R. (2011a) 'A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors', Expert Systems with Applications, Vol. 38, No. 10, pp. 12231-12236.
3. Azadi, M. and Farzipoor Saen, R. (2011b) 'Developing a WPF-CCR model for selecting suppliers in the presence of stochastic data', OR Insight, Vol. 24, No. 1, pp. 31-48.
4. Azadi, M. and Farzipoor Saen, R. (2011) 'Developing an output-oriented super SBM model with an application to third-party reverse logistics providers', Journal of Multi-Criteria Decision Analysis, Vol. 18, Nos. 5-6, pp. 267-277.
5. Azadi, M. and Farzipoor Saen, R. (in press a) 'Developing a chance-constrained free disposable Hull model for selecting third-party reverse logistics providers', Int. J. Operations Research and Information Systems.
6. Azadi, M. and Farzipoor Saen, R. (in press b) 'Developing a neutral slacks-based measure for production line selection', Int. J. Operational Research.
7. Azadi, M. and Farzipoor Saen, R. (2012) 'Developing a new chance-constrained DEA model for suppliers selection in the presence of undesirable outputs', Int. J. Operational Research, Vol. 13, No. 1, pp. 44-66.
8. Azadi, M., Farzipoor Saen, R. and Tavana, M. (in press) 'Supplier selection using chanceconstrained data envelopment analysis with nondiscretionary factors and stochastic data', Int. J. Industrial and Systems Engineering.
9. Blumberg, D. (1999) 'Strategic examination of reverse logistics and repair service requirements, needs, market size, and opportunities', Journal of Business Logistics, Vol. 20, No. 2, pp. 141-59.
10. Bottani, E. and Rizzi, A. (2006) 'A fuzzy TOPSIS methodology to support outsourcing of logistics services', Supply Chain Management: An International Journal, Vol. 11, No. 4, pp. 294-308. (Pubitemid 44035719)
11. Charnes, A. and Cooper, W. W. (1962) 'Programming with linear fractional functional', Naval Research Logistics Quarterly, Vol. 9, Nos. 3-4, pp. 181-185.
12. Charnes, A., Cooper, W. W. and Rhodes, A. (1978) 'Measuring the efficiency of decision making units', European Journal of Operational Research, Vol. 2, No. 6, pp. 429-444. (Pubitemid 9402758)
13. Cooper, W. W., Huang, Z., Li, S. X., Parker, B. R and Pastor, J. T. (2007) 'Efficiency aggregation with enhanced Russell measures in data envelopment analysis', Socio-Economic Planning Sciences, Vol. 41, No. 1, pp. 1-21. (Pubitemid 44882903)
14. Cooper, W. W., Park, K. S. and Pastor, J. T. (1999) 'RAM: a range adjusted measure of inefficiency for use with additive models and relations to other models and measures in DEA', Journal of Productivity Analysis, Vol. 11, No. 1, pp. 5-42.
15. Doyle, J. and Green, R. (1994) 'Efficiency and cross efficiency in DEA: derivations, meanings and the uses', Journal of the Operational Research Society, Vol. 45, No. 5, pp. 567-578.
16. Efendigil, T., Önüt, S. and Kongar, E. (2008) 'A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness', Computers and Industrial Engineering, Vol. 54, No. 2, pp. 269-287. (Pubitemid 350225618)
17. Emrouznejad, A. and Thanassoulis, E. (2010) 'Measurement of productivity index with dynamic DEA', Int. J. Operational Research, Vol. 8, No. 2, pp. 247-260.
18. Färe, R. and Lovell, C. A. K. (1978) 'Measuring the technical efficiency of production', Journal of Economic Theory, Vol. 19, No. 1, pp. 150-162.
19. Farzipoor Saen, R. (2009) 'A mathematical model for selecting third-party reverse logistics providers', Int. J. Procurement Management, Vol. 2, No. 2, pp. 180-190.
20. Farzipoor Saen, R. (2010) 'A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors', Int. J. Advanced Manufacturing Technology, Vol. 46, Nos. 1-4, pp. 405-410.
21. Göl, H. and Çatay, B. (2007) 'Third-party logistics provider selection: Insights from a Turkish automotive company', Supply Chain Management: An International Journal, Vol. 12, No. 6, pp. 379-384.
22. Green, R., Doyle, J. and Cook, W. (1996) 'Preference voting and project ranking using DEA and cross-evaluation', European Journal of Operational Research, Vol. 90, No. 3, pp. 461-472. (Pubitemid 126369041)
23. Haas, D. A., Murphy, F. H. and Lancioni, R. A. (2003) 'Managing reverse logistics channels with data envelopment analysis', Transportation Journal, Vol. 42, No. 3, pp. 59-69. (Pubitemid 37090183)
24. Ho, C. T. B. (2007) 'Performance measurement using data envelopment analysis and financial statement analysis', Int. J. Operational Research, Vol. 2, No. 1, pp. 26-38.
25. Hosseinzadeh Zoroufchi, K., Azadi, M. and Farzipoor Saen, R. (in press) 'Developing a new cross-efficiency model with undesirable outputs for supplier selection', Int. J. Industrial and Systems Engineering.
26. Kannan, G. (2009) 'Fuzzy approach for the selection of third party reverse logistics provider', Asia Pacific Journal of Marketing and Logistics, Vol. 21, No. 3, pp. 397-416.
27. Meade, L. and Sarkis, J. (2002) 'A conceptual model for selecting and evaluating third-party reverse logistics providers', Supply Chain Management: An International Journal, Vol. 7, No. 5, pp. 283-295. (Pubitemid 38947712)
28. Min, H. and Joo, S. J. (2006) 'Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis', Supply Chain Management: An International Journal, Vol. 11, No. 3, pp. 259-265. (Pubitemid 43823486)
29. Mulwa, R., Emrouznejad, A. and Muhammad, L. (2009) 'Economic efficiency of smallholder maize producers in Western Kenya: a DEA meta-frontier analysis', Int. J. Operational Research, Vol. 4, No. 3, pp. 250-267.
30. Noorizadeh, A., Mahdiloo, M. and Farzipoor Saen, R. (2011) 'Supplier selection in the presence of dual-role factors, nondiscretionary inputs, and weight restrictions', Int. J. Productivity and Quality Management, Vol. 8, No. 2, pp. 134-152.
31. Oakley, B. T. (1993) 'Total quality product design-how to integrate environmental criteria into the production realization process', Total Quality Environmental Management, Vol. 2, No. 3, pp. 309-321.
32. Oral, M., Kettani, O. and Lang, P. (1991) 'A methodology for collective evaluation and selection of industrial R&D projects', Management Science, Vol. 37, No. 7, pp. 871-883.
33. Parkan, C. (2006) 'An alternative derivation of the basic DEA models for gauging the productive performances of operating entities', Int. J. Productivity and Quality Management, Vol. 1, No. 3, pp. 253-271.
34. Prahinski, C. and Kocabasoglu, C. (2006) 'Empirical research opportunities in reverse supply chains', Omega, Vol. 34, No. 6, pp. 519-532. (Pubitemid 43119082)
35. Qureshi, M. N., Kumar, D. and Kumar, P. (2008) 'Decision support model for evaluation and selection of third party logistics service providers', Int. J. Logistics Systems and Management, Vol. 4, No. 3, pp. 255-281.
36. Routroy, S. (2009) 'Selection of third party logistics provider in supply chain', Int. J. Services Technology and Management, Vol. 12, No. 1, pp. 23-34.
37. Sexton, T. R., Silkman, R. H. and Hogan, A. J. (1986) 'Data envelopment analysis: critique and extensions', in R. H. Silkman (Ed.), Measuring Efficiency: An Assessment of Data Envelopment Analysis. San Francisco: Jossey-Bass, pp. 73-105.
38. Sueyoshi, T. and Sekitani, K. (2007) 'Computational strategy for Russell measure in DEA: second-order cone programming', European Journal of Operational Research, Vol. 180, No. 1, pp. 459-471. (Pubitemid 46123851)
39. Tone, K. (2001) 'Slacks-based measure of efficiency in data envelopment analysis', European Journal of Operational Research, Vol. 130, No. 3, pp. 498-509. (Pubitemid 32875307)
40. Wang, Y. M. and Chin, K. S. (2010) 'A neutral DEA model for cross-efficiency evaluation and its extension', Expert Systems with Applications, Vol. 37, No. 5, pp. 3666-3675.
41. Wong, W. P., Jaruphongsa, W. and Lee, L. H. (2008) 'Supply chain performance measurement system: a Monte Carlo DEA-based approach', Int. J. Industrial and Systems Engineering, Vol. 3, No. 2, pp. 162-188. (Pubitemid 351250072)
42. Wu, L. L. J., Cook, W. D. and Zhu, J. (2008) 'The DEA game cross-efficiency model and its Nash equilibrium', Operations Research, Vol. 56, No. 5, pp. 1278-1288.