Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique

Within the past decades both the number and quality of the airports in the world has been growing significantly. Despite this fact, research areas such as, performance evaluation and ranking of these airports based on different sets of criteria and techniques, are conspicuously untapped. This study aims to contribute to this area by proposing an evaluation and ranking model using an integration of Taguchi Loss Function, best-worst method (BWM) and VIKOR technique. The proposed model allows decision makers to set different target values and consumer's tolerance thresholds for each criterion based on which country's airports are being ranked and also reduce the amount of pairwise comparisons by using BWM. Also a real world case study is presented.

[1]  J. Rezaei,et al.  Evaluation of external forces affecting supply chain sustainability in oil and gas industry using Best Worst Method , 2015, 2015 International Mediterranean Gas and Oil Conference (MedGO).

[2]  S. Managi,et al.  Productivity growth and biased technological change in Japanese airports , 2010 .

[3]  C. Yeh,et al.  Evaluating passenger services of Asia-Pacific international airports , 2003 .

[4]  Jingzheng Ren,et al.  Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method , 2017 .

[5]  Phillip J. Ross,et al.  Taguchi Techniques For Quality Engineering: Loss Function, Orthogonal Experiments, Parameter And Tolerance Design , 1988 .

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

[7]  Ming-Miin Yu,et al.  Productivity Growth of Taiwan's Major Domestic Airports in the Presence of Aircraft Noise , 2008 .

[8]  J. Rezaei,et al.  A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method , 2016 .

[9]  Sharon M. Ordoobadi.  Application of AHP and Taguchi loss functions in supply chain , 2010, Ind. Manag. Data Syst..

[10]  Juan Carlos Martín,et al.  A stochastic frontier analysis to estimate the relative efficiency of Spanish airports , 2009 .

[11]  Joseph Sarkis.  An analysis of the operational efficiency of major airports in the United States , 2000 .

[12]  Chandra Prakash,et al.  A Robust Multi-Criteria Decision-Making Framework for Evaluation of the Airport Service Quality Enablers for Ranking the Airports , 2016 .

[13]  R. R. Martín-Cejas,et al.  Technical efficiency and productivity changes in Spanish airports: A parametric distance functions approach , 2010 .

[14]  D Parker,et al.  THE PERFORMANCE OF BAA BEFORE AND AFTER PRIVATISATION. A DEA STUDY , 1999 .

[15]  C. Barros,et al.  Measuring the economic efficiency of airports: A Simar–Wilson methodology analysis , 2008 .

[16]  Lee-Ing Tong,et al.  Optimization of multi-response processes using the VIKOR method , 2007 .

[17]  A. Gilbey,et al.  Estimating airport efficiency of New Zealand airports , 2014 .

[18]  Gin-Shuh Liang,et al.  Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment , 2011, Expert Syst. Appl..

[19]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[20]  Troy A. Festervand,et al.  The marketing of industrial real estate: application of Taguchi loss functions , 2001 .

[21]  C. Barros,et al.  Technical and allocative efficiency in airports. , 2004 .

[22]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[23]  J. Antony,et al.  The assessment of quality in medical diagnostic tests: a comparison of ROC/Youden and Taguchi methods. , 2000, International journal of health care quality assurance incorporating Leadership in health services.

[24]  David Gillen,et al.  DEVELOPING MEASURES OF AIRPORT PRODUCTIVITY AND PERFORMANCE: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS , 1997 .

[25]  L. C. Lin,et al.  Operational performance evaluation of international major airports: An application of data envelopment analysis , 2006 .

[26]  Mohammad Ebrahim Banihabib,et al.  Comparison of Different Multi Criteria Decision-Making Models in Prioritizing Flood Management Alternatives , 2015, Water Resources Management.

[27]  Gwo-Hshiung Tzeng,et al.  Comparison among three analytical methods for knowledge communities group-decision analysis , 2007, Expert Syst. Appl..

[28]  C. Barros.  Technical change and productivity growth in airports: A case study , 2008 .

[29]  Paolo Mancuso,et al.  Airport quality and productivity changes: A Malmquist index decomposition assessment , 2013 .

[30]  Troy A. Festervand,et al.  Improving customer service in the real estate industry: A property selection model using Taguchi loss functions , 2002 .

[31]  T. Oum,et al.  MEASURING AIRPORTS' OPERATING EFFICIENCY: A SUMMARY OF THE 2003 ATRS GLOBAL AIRPORT BENCHMARKING REPORT , 2004 .

[32]  Joseph Sarkis,et al.  Performance based clustering for benchmarking of US airports , 2004 .

[33]  Golam Sorwar,et al.  Vendor selection using fuzzy C means algorithm and analytic hierarchy process , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[34]  C. Chow,et al.  Estimating indices of airport productivity in greater China , 2012 .

[35]  Himanshu Gupta,et al.  Developing a roadmap to overcome barriers to energy efficiency in buildings using best worst method , 2017 .

[36]  J. Rezaei.  Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .

[37]  P. Nijkamp,et al.  Inefficiencies and scale economies of European airport operations , 2003 .

[38]  B. Vasigh,et al.  SIZE VERSUS EFFICIENCY: A CASE STUDY OF US COMMERCIAL AIRPORTS , 2003 .

[39]  Y. Yoshida,et al.  JAPANESE-AIRPORT BENCHMARKING WITH THE DEA AND ENDOGENOUS-WEIGHT TFP METHODS: TESTING THE CRITICISM OF OVERINVESTMENT IN JAPANESE REGIONAL AIRPORTS , 2004 .

[40]  Hokey Min,et al.  Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index , 2014 .

[41]  Hsing-Pei Kao,et al.  Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming , 2010, Comput. Ind. Eng..

[42]  William L. Weber,et al.  Productivity Growth and Biased Technological Change in UK Airports , 2009 .

[43]  Peter Nijkamp,et al.  Relative efficiency of European airports , 1999 .

[44]  A. Gilbey,et al.  Operational efficiency of Asia–Pacific airports , 2014, Journal of Air Transport Management.

[45]  Chinyao Low,et al.  Supplier evaluation and selection using Taguchi loss functions , 2005 .

[46]  M. Sayadi,et al.  Extension of VIKOR method for decision making problem with interval numbers , 2009 .

[47]  Jafar Rezaei,et al.  Measuring efficiency of university-industry Ph.D. projects using best worst method , 2016, Scientometrics.

[48]  Jiju Antony,et al.  Experimental Quality: A strategic approach to achieve and improve quality , 1999 .

[49]  Hsu-Hao Yang,et al.  Measuring the efficiencies of Asia-Pacific international airports - Parametric and non-parametric evidence , 2010, Comput. Ind. Eng..

[50]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[51]  Elton Fernandes,et al.  EFFICIENT USE OF AIRPORT CAPACITY , 2002 .