Agosto 2014 vol. 1 num. 1 - XVII Simpósio de Pesquisa Operacional e Logística da Marinha

Artigo - Open Access.

Idioma principal

AVALIAÇÃO DA EFICIÊNCIA DAS COMPANHIAS AÉREAS BRASILEIRAS UTILIZANDO UM MODELO DEA EM REDE BASEADO EM FOLGAS

Rubem, Ana Paula dos Santos ; Beltrán, Plácido Moreno ; Mello, João Carlos Correia Baptista Soares de ;

Artigo:

Este artigo tem o objetivo de analisar o desempenho operacional de companhias aéreas brasileiras, no período de 2007 a 2010, usando um modelo de Análise Envoltória de Dados (DEA, do inglês Data Envelopment Analysis) em rede. O modelo DEA em rede define cada unidade produtiva como uma rede de estágios, proporcionando um maior entendimento sobre as causas da ineficiência, bem como a decomposição da eficiência global em pontuações individuais para cada estágio. Ao invés de basear o modelo em uma medida radial de eficiência, aplica-se uma métrica baseada em folgas, e assume-se que cada estágio opere sob retornos variáveis de escala, já que os efeitos de escala não podem ser desconsiderados. A análise resultou em nove companhias globalmente eficientes. A divisão do processo produtivo em estágios tornou mais fácil identificar as fontes de ineficiência. Por exemplo, em relação às companhias aéreas ineficientes, seis foram eficientes em pelo menos um estágio. Palavras-chave: Análise Envoltória de Dados. Eficiência. Transporte aéreo.

Artigo:

This article aims at analysing the operational performance of Brazilian airlines from 2007 to 2010, by using a three-stage network Data Envelopment Analysis (DEA) model. Network DEA models define each production unit as a network of stages, providing a greater insight into the causes of inefficiency, as well as the decomposition of the global efficiency into individual scores for each internal stage. Instead of grounding the network DEA model on a radial measure of efficiency, we apply a slacks-based measure metrics. Each stage has been assumed to exhibit variable returns-to-scale, since scale effects cannot be neglected. The analysis resulted in nine globally efficient airlines. The division of the production process in stages made it easier to identify the sources of inefficiency. For instance, regarding the inefficient airlines, six were efficient in at least one stage.

Download (PDF)

Palavras-chave: DEA - Análise Envoltória de Dados, Air transport,

Palavras-chave:

DOI: 10.5151/marine-spolm2014-126288

Referências bibliográficas
  • [1] Adler, N.; Berechman, J. (2001). Measuring airport quality from the airlines'' viewpoint: an application of data envelopment analysis. Transport Policy, 8(3), 171-18
  • [2] Adler, N.; Golany, B.E. (2001). Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe, European Journal of Operational Research, 260-273.
  • [3] ANAC. Anuários estatísticos do transporte aéreo 2007. Disponível em: http://www.anac.gov.br/.
  • [4] ANAC. Anuários estatísticos do transporte aéreo 2008. Disponível em: http://www.anac.gov.br/.
  • [5] ANAC. Anuários estatísticos do transporte aéreo 2009. Disponível em: http://www.anac.gov.br/.
  • [6] ANAC. Anuários estatísticos do transporte aéreo 2010. Disponível em: http://www.anac.gov.br/.
  • [7] Araújo Junior, A.H.; Avellar, J.V.G.; Marins, F.A.S.; Milioni, A. Z. (2007). A eficiência operacional do transporte aéreo brasileiro. Engenharia, 582,122-130.
  • [8] Banker, R.D.; Charnes, A.; Cooper, W.W. (1984). Some models for estimating technical scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
  • [9] Banker, R.D.; Charnes, A.; Cooper, W.W.; Swarts, J.; Thomas, D. (1989). An introduction to data envelopment analysis with some models and their uses. Research in Governmental and Non-Profit Accounting, 5, 125-163.
  • [10] Barros, C.P.; Dieke, P.U.C. (2007). Performance evaluation of Italian airports: a data envelopment analysis. Journal of Air Transport Management, 13(4), 184-91.
  • [11] Capobianco, H.M.P.; Fernandes, E. (2004). Capital structure in the world airline industry. Transportation Research Part a-Policy and Practice, 38(6), 421-434.
  • [12] Chang, Y.-C.; Yu, M.-M. (2012). Measuring production and consumption efficiencies using the slack-based measure network data envelopment analysis approach: The case of low-cost carriers. Journal of Advanced Transportation.
  • [13] Chang, Y.-C; Yu, M.-M.; Chen, P.-C. (2013). Evaluating the performance of chinese airports. Journal of Air Transport Management, 31(1): 19-21.
  • [14] Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2, 429-444.
  • [15] Charnes, A.; Gallegos, A.; Li, H. (1996). Robustly efficient parametric frontiers via multiplicative DEA for domestic and international operations of the latin american airline industry. European Journal of Operational Research, 88(3), 525-536.
  • [16] Chen, Y.; Cook, W.D.; Li, N.; Zhu, J. (2009). Additive efficiency decomposition in two-stage DEA. European Journal of Operational Research, 196(3), 1170-1176.
  • [17] Chi-Lok, A.Y.; Zhang, A. (2009). Effects of competition and policy changes on chinese airport productivity: An empirical investigation. Journal of Air Transport Management, 15(4), 166-174.
  • [18] Correia, T.C.V.D.; Soares de Mello, J.C.C.B.; Angulo-Meza, L. (2011). Assessment of Brazilian airlines technical efficiency: A study using data envelopment analysis and fuzzy sets. Produção, 21(4), 676-683.
  • [19] Evangelho, F.; Huse, C.; Linhares, A. (2005). Market entry of a low cost airline and impacts on the Brazilian business travelers. Journal of Air Transport Management, 11 (2), 99-105.
  • [20] Fernandes, E.; Pires, H.M.; Lins, M.P.E.; Silva, A.C.M. (2008). Financial performance of air transport companies: An analysis of the non-pareto-efficient space in data envelopment analysis. Paper read at WIT Transactions on Information and Communication Technologies.
  • [21] Färe, R.; Grosskopf, S. (2000). Network DEA, Socio-Economic Planning Sciences, 34, 35-49.
  • [22] Fonseca, A.B.M.; Soares de Mello, J.C.C.B.; Gomes, E.G.; Angulo-Meza, L. (2010). Uniformization of frontiers in non-radial ZSG-DEA models: An application to airport revenues. Pesquisa Operacional, 30(1), 175-193.
  • [23] Gillen, D.; Lall, A. (1997). Developing measures of airport productivity and performance: an application of data envelopment analysis. Transportation Research Part E: Logistic and Transportation Review, 33(4), 261-73.
  • [24] Gomes Júnior, S.F.; Soares de Mello, J.C.C.B.; Angulo Meza, L. (2013). DEA nonradial efficiency based on vector properties, International Transactions in Operational Research, 20(3), 341-364.
  • [25] Ha, H.K.; Wan, Y.; Yoshida, Y.; Zhang, A. (2013). Airline market structure and airport efficiency: Evidence from major Northeast Asian airports. Journal of Air Transport Management, 33, 32-42.
  • [26] Kao, C. (2009). Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research, 192(3), 949-962.
  • [27] Lima, V.S.; Soares de Mello, J.C.C.B.; Angulo-Meza, L. (2011). Cost-benefit analysis in selected air trips using a non-parametric method. African Journal of Business Management, 5(21), 9678-9685.
  • [28] Lozano, S. (2011). Scale and cost efficiency analysis of networks of processes. Expert Systems with Applications, 38 (6), 6612-6617.
  • [29] Lozano, S.; Gutiérrez, E.; Moreno, P. (2013). Network DEA approach to airports performance assessment considering undesirable outputs. Applied Mathematical Modelling, 37(4), 1665-1676.
  • [30] Lozano, S.; Moreno, P. (2014). Network fuzzy data envelopment analysis. Studies in Fuzziness and Soft Computing, 309, 207-2
  • [31] Lu, W.-M.; Wang, W.-K.; Hung, S.-W.; Lu, E.-T. (2012).The effects of corporate governance on airline performance: Production and marketing efficiency perspectives. Transportation Research Part E: Logistics and Transportation Review, 48(2), 529-544.
  • [32] Pacheco, R.R.; Fernandes, E.; Santos, M.P.D. (2006). Management style and airport performance in Brazil. Journal of Air Transport Management, 12(6), 324-330.
  • [33] Podinovski, V.V.; Thanassoulis, E. (2007). Improving discrimination in data envelopment analysis: Some practical suggestions. Journal of Productivity Analysis, 28(1-2), 117-126.
  • [34] Sarkis, J. (2000). An analysis of the operational efficiency of major airports in the United States. Journal of Operations Management, 18(3), 335-351.
  • [35] Schefczyk, M. (1993). Operational performance of airlines: An extension of traditional measurement paradigms. Strategic Management Journal, 14, 301-317.
  • [36] Silveira, J.Q.; Soares de Mello, J.C.C.B.; Angulo-Meza, L. (2012a). Brazilian airlines efficiency evaluation using a data envelopment analysis (DEA) and multiobjective linear programming hybrid model. Ingeniare, 20(3), 331-342.
  • [37] Silveira, J. Q.; Soares de Mello; J.C.C.B.; Angulo-Meza, L. (2012b). Use of DEA and inverted frontier for airlines benchmarking and anti-benchmarking identification. Produção, 22(4), 788-795.
  • [38] Soares de Mello, J.C.C.B.; Angulo-Meza, L.; Gomes, E.G.; Serapião, B.P.; Lins, M.P.E. (2003). Análise de envoltória de dados no estudo da eficiência e dos benchmarks para companhias aéreas brasileiras. Pesquisa Operacional, 23(2), 325-345.
  • [39] Soares de Mello, J.C.C.B.; Angulo-Meza, L.; Silveira, J.Q.; Gomes, E.G. (2013). About negative efficiencies in cross evaluation bcc input oriented models. European Journal of Operacional Research, 229(3), 732-737.
  • [40] Soares de Mello, P.H.C.; Soares de Mello, J.C.C.B.; Angulo-Meza, L. (2009). Misunderstandings due to a codeshare between two Brazilian airlines in Rio de Janeiro international airport. Rio´s International Journal on sciences of industrial and systems engineering and management, 3(1), 2.
  • [41] Suzuki, S.; Nijkamp, P.; Pels, E.; Rietveld, P. (2012). Comparative performance analysis of european airports by means of extended data envelopment analysis. Journal of Advanced Transportation.
  • [42] Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European journal of operational research, 130(3), 498-509.
  • [43] Tone, K.; Tsutsui, M. (2009). Network DEA: a slacks-based measure approach. European Journal of Operational Research, 197(1), 243-252.
  • [44] Tone, K.; Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega (United Kingdom), 42(1), 124-131.
  • [45] Wanke, P.F. (2013) Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach. Journal of Air Transport Management, 31, 1-5.
  • [46] Yu, M.-M. (2010). Assessment of airport performance using the SBM-NDEA model. Omega, 38(6), 440-452.
  • [47] Yu, M.-M. (2012). Performance assessment of transport services with the ERM-NDEA model: Evidence from a domestic airline in Taiwan. Transportation Planning and Technology, 35(7), 697-714.
  • [48] Yu, M.-M.; Chen, P.-C. (2011). Measuring air routes performance using a fractional network data envelopment analysis model. Central European Journal of Operations Research, 19(1), 81-98.
  • [49] Zhu, J. (2011). Airlines Performance via Two-Stage Network DEA Approach. Journal of CENTRUM Cathedra, 4(2), 260-269.
Como citar:

Rubem, Ana Paula dos Santos; Beltrán, Plácido Moreno; Mello, João Carlos Correia Baptista Soares de; "AVALIAÇÃO DA EFICIÊNCIA DAS COMPANHIAS AÉREAS BRASILEIRAS UTILIZANDO UM MODELO DEA EM REDE BASEADO EM FOLGAS", p. 249-261 . In: Anais do XVII Simpósio de Pesquisa Operacional e Logística da Marinha - SPOLM 2014. São Paulo: Blucher, 2014.
ISSN 2175-6295, ISBN: 2175-6295
DOI 10.5151/marine-spolm2014-126288

últimos 30 dias | último ano | desde a publicação


downloads


visualizações


indexações