Figure 1. Benchmarking targets of DMU I according to the change of the weights
Figure 2. Results of stratification and stepwise benchmarking targets for DMU I
Figure 3. Stratification result of 34 ports
Table 1. Sample data
Table 2. Descriptive statistics for inputs and outputs of 34 ports
Table 3. Relative efficiency result of 34 ports
Table 4. The preference weight assigned to the inputs
Table 5. Result of stepwise benchmarking targets(HCU and RU) for port 34
References
- Ammons, D. N. 2002. "Benchmarking as a performance management tool: experiences among municipalities in North Carolina." European Journal of Operational Research 140:249-65. https://doi.org/10.1016/S0377-2217(02)00068-1
- Barros, C. P., and Athanassiou, M. 2004. "Efficiency in European seaports with DEA: Evidence from Greece and Portugal." Maritime Economics and Logistics 6:122-40. https://doi.org/10.1057/palgrave.mel.9100099
- Charnes, A., Cooper, W. W., and Rhodes, E. 1978. "Measuring the efficiency of decision making units." European Journal of Operational Research 2:429-44. https://doi.org/10.1016/0377-2217(78)90138-8
- Cooper, W. W., Seiford, L. M., and Tone, K. 2006. Introduction to Data Envelopment Analysis and Its uses: with DEA solver software and reference. Interface.
- Grupp, H. 1990. Technometrics as a missing link in science and technology indicators. Measuring the Dynamics of Technological Change.
- Hayuth, Y., and Roll, Y. 1993. "Port performance comparison applying data envelopment analysis (DEA)." Maritime Policy and Management 20:153-61. https://doi.org/10.1080/03088839300000025
- Lee, H. Y., and Park, Y. T. 2005. "An international comparison of R&D efficiency: DEA approach." Asian Journal of Technology Innovation 13(2):207-222. https://doi.org/10.1080/19761597.2005.9668614
- Martinez, E. Diaz, R., Navarro, M., and Ravelo, T. 1999. "A study of the efficiency of Spanish port authorities using data envelopment analysis." International Journal of Transport Economics 26:237-53.
- Mithun, J. S., and Song, J-Y. 2009. "Performance based stratification and clustering for benchmarking of container terminals." Expert Systems with Application 36:5016-022. https://doi.org/10.1016/j.eswa.2008.06.010
- Park, R-K., and De, P. 2004. "An alternative approach to efficiency measurement of seaports." Maritime Economics and Logistics 6:53-69. https://doi.org/10.1057/palgrave.mel.9100094
- Park, J, Bae H, and Lim S. 2010. "Method of benchmarking route choice based on the input-similarity using DEA and SOM." Journal of the Korean Institute of Industrial Engineers 36(1):32-41.
- Seiford, L.M., and Zhu, J. 2003. "Context-dependent data envelopment analysis-Measuring attractiveness and progress." Omega 31:397-408. https://doi.org/10.1016/S0305-0483(03)00080-X
- Sharma, S., and Thomas, V. 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis." Scientometrics 76(3):483-501. https://doi.org/10.1007/s11192-007-1896-4
- Spendolini M. J., 1992. The benchmarking book. America management association, New York.
- Tata, J., Prasad, S., and Motwani, J. 2000. "Benchmarking quality management practices: U.S. Versus Costa Rica." Multinational Business Review 8(2):37.
- Tongzon, J. 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis." Transportation Research Part A 35:113-28.
- Valentine, V. C., and Gray, R. 2001. "The measurement of port efficiency using data envelopment analysis." Processing of the Ninth World Conference on Transport Research, Seoul.
- Wang, E. C., and Huang, W. 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach." Research Policy 36(2):260-273. https://doi.org/10.1016/j.respol.2006.11.004
- Zhu, J. 2003. Quantitative models for performance evaluation and benchmarking-Data Envelopment Analysis with Spreadsheets and DEA Excel Solver, Kluwer Academi Publishers.