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Tahari, M. H.
- Pragmatics of Hybrid Approach DEA/VIKOR to Assess International Airports of Iran
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Authors
Affiliations
1 Young Researchers Club, Naragh Branch, Islamic Azad University, Naragh, IR
2 Department of Economics, Management and Accounting, University of Yazd
1 Young Researchers Club, Naragh Branch, Islamic Azad University, Naragh, IR
2 Department of Economics, Management and Accounting, University of Yazd
Source
Indian Journal of Science and Technology, Vol 5, No 8 (2012), Pagination: 3115-3121Abstract
The purpose of this paper is to present a hybrid approach from techniques of data envelopment analysis (DEA) and VIKOR for analyzing airport performance. Techniques of DEA has been used along with inputs such as number of workers, terminal space, length of the band and outputs such as number of the flights, number of the transported passengers and amount of the luggage. The efficiency of the airports has been accounted by 49 different inputs and outputs synthesis by using DEA. So that by using efficiency points of the airports in different synthetic inputs and outputs, a decision matrix was made in that the rows of this matrix were airports and the columns were the efficiency marks of different models, and at the end VIKOR technique was used for ranking the airports. The results of the final ranking showed Zahedan airport in the first place and Isfahan airport in the last place.Keywords
Data Envelopment Analysis, Vikor, International AirportsFull Text
References
- Adler Nand Berechman J (2001) Measuring airport quality from the airlines viewpoint: an application of data envelopment analysis.Transport Policy. 8, 171–181.
- Amiri M, Ayazi A,Olfat L and Moradi J (2011)Group decision making process for supplier selection with VIKOR under fuzzy circumstance case study: An iranian car parts supplier. Int. Bulletin of Business Admin. 10, 62- 75.
- Andersen P and Petersen NC (1993) A procedure for ranking efficient units in DEA. Manage. Sci. 39, 1261– 1264.
- Bal H, Orkcu HH and Celebioglu S (2010) Improving the discrimination power and weights dispersion in the data envelopment analysis.Comput. & Operations Res. 37, 99–107.
- Banker RD, Charnes A and Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30(9),1078– 1092.
- Barros CP and Dieke PUC (2008) Measuring the economic efficiency of airports: a Simar–Wilson methodology analysis. Transportation Res. Part E.44(6), 1039-1051.
- BruceHo C and Dash Wu D (2009)Online banking performance evaluation using data envelopment analysis an de principal component analysis. Comput. & Operations Res. 36,1835-1842.
- Chang C and Hsu C (2009)Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed.J. Environ. Manage. 90, 3226–3230.
- Charnes A, Cooper WW and Rhodes E (1978) Measuring the efficiency of decision-making units. Europ. J. Operational Res. 2(6), 429–444.
- Fung MKY, Wan KKH, Hui YV and Law JS (2008)Productivity changes in Chinese airports 1995– 2004. Transportation Res. Part E. 44(3), 521–542.
- Gillen D and Lall A (2001). Developing measures of airport productivity and performance: an application of data envelopment analysis. Transportation Res. Part E. 33, 261–273.
- Gillen D and Lall A (1997) Non-parametric measures of efficiency of US airports. Intl. J. Transport Econom. 28,283–306.
- Martin JCand RománC (2007) Political opportunists and mavericks a typology of Spanish airports. Int. J. Transport Econom. 34(2),247–271.
- Mehregan Ahmadreza (2007)Quantitative models. Management faculty, Tehran University Press.
- Murillo-Melchor C (1999) An analysis of technical efficiency and productive change in Spanish airports using the Malmquist index. Intl. J. Transport Econom. 26,271–292.
- Parker D (1999)The performance of the BAA before and after privatization. J. Transport Econom. & Policy. 33, 133–146.
- Pathomsiri S, Haghani A, Dresner Mand Windle RJ (2008) Impact of undesirable outputs on the productivity of US airports. Transp. Res. Part E Logistics & Transp. Rev. 44,235–259.
- Pels E, Nijkamp P and Rietveld P (2001) Relative efficiency of European airports. Transport Policy. 8,183– 192.
- Roghanian E and ForoughI A(2010)An empirical study of Iranian regional airports using robust data envelopment analysis. Intl. J. Industrial Engg. Computations. 1, 65-72.
- Samoilenko S and Osei-Bryson KM (2008) Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees. Expert Systems with Appli. 34(2), 1568–1581.
- Sarkis J(2000). Operational efficiency of major US airports. J. Operation Managnt. 18,251–335.
- Sarkis J and Talluri S (2004) Performance-based clustering for benchmarking of US airports. Transportation Res. Part A. 38,329–346.
- Seol H, Choi J, Park G and Park Y (2007) A framework for benchmarking service process using data envelopment analysis and decision tree. Expert Sys. Appli. 32(2), 432–440.
- Sohn Sand Moon T (2004) Decision tree based on data envelopment analysis for effective technology commercialization. Expert Sys. Appli. 26(2),279–284.
- Soleimani-damaneh M and Zarepisheh M (2009) Shannon’s entropy combining the efficiency results of different DEA models: Method and application. Expert Sys. Appl. 36,5146-5150.
- Yang H (2010) Measuring the efficiencies of asia-pacific international airports: Parametric and Non-Parametric Evidence. Comput. & Industrial Engg. pp: 697-702.
- Yoshida Y (2004) Endogenous-weight TFP measurement: methodology and its application to Japanese-airport benchmarking. Transportation Res. Part E.40,151–182.
- Yoshida Yand Fujimoto H (2004) Japanese-airport benchmarking with DEA and endogenous-weight TFP methods: testing the criticism of over-investment in Japanese regional airports. Transportation Res. Part E. 40, 533–546.
- Yu MM, Hsu SH, Chang CC and Lee DH (2008) Productivity growth of Taiwan’s major domestic airports in the presence of aircraft noise. Transp. Res. Part E Logistics & Transp. Rev. 44(3), 543–554.