A data envelopment analysis approach to choose transport modes based on eco-efficiency

Environment, Development and Sustainability

Volumn 14, Issue 5, 2012, Pages 767-781

  Leal Jr , Ilton Curty ^a   de Almada Garcia, Pauli Adriano ^b   de Almeida D'Agosto, Márcio ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b FLUMINENSE FEDERAL UNIVERSITY   (Brazil)

Author keywords

Bioethanol; Data envelopment analysis; Eco efficiency; Transportation modal choice

Indexed keywords

DATA ENVELOPMENT ANALYSIS; ETHANOL; PRIORITIZATION; STATE ROLE; TRANSPORTATION;

BRAZIL;

EID: 84865827607     PISSN: 1387585X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10668-012-9352-x     Document Type: Article

References (39)

1. ANTT. (2008). Maps of Brazilian Highways and Railways. National Land Transportation Agency. Internet, Available at http://www.antt.gov.br/. Accessed on December 1, 2008 [in Portuguese].
2. Ballou, R. H. (2003). Supply chain management (5th Ed.). Englewood Cliffs: Prentice Hall.
3. Bowersox, D., & Closs, D. (2001). Logistical management: The integrated supply chain process. Atlas: São Paulo [in Portuguese].
4. CETESB. (2008). Statistics on environmental accidents. Brazilian Company of Technology and Environmental Sanitation. Internet, Available at http://www.cetesb.sp.gov.br/emergencia/estatisticas/estatisticas.asp. Accessed on November 7, 2008.
5. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring efficiency of decision making units. European Journal of Operations Research, 2(6), 429-444.
6. Charnes, A., Haag, S., Jaska, P., & Semple, J. (1992). Sensitive of efficiency classifications in the additivemodel of data envelopment analysis. International Journal of System Science, 23, 789-798.
7. Chopra, S., & Meindl, P. (2003). Supply chain management: Strategy, planning and operation (2nd Ed.). Englewood Cliffs: Prentice Hall.
8. Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis-A comprehensive text with models, applications, references and DEA-solver software (2nd Ed.). Berlin: Springer.
9. Emrouznejad, A., & Amin, G. R. (2009). DEA models for ration data: Convexity consideration. Applied Mathematical Modeling, 33, 486-498.
10. Farrel, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A(part III), 253-290.
11. FHWA US DOT. (2005). Effects of freight movement on air quality at the national and regional level home federal highway administration. US Department of Transportation. USA. Available at http://www.fhwa.dot.gov/environment/freightaq/index.htm#toc. Accessed on June 23, 2008.
12. Fleury, P. F., & Wanke, P. (2003). Transport planning and administration. In K. F. Figueiredo, et al. (Eds.), Supply chain logistics and management-Planning the flow of products and resources. Atlas: São Paulo; pp. 235-236 [in Portuguese].
13. Frota Neto, J. Q, Walther, G., Bloemhof, J., Nunen J. A. E. E., & Spengler, T. (2009) A methodology for assessing eco-efficiency in logistics networks. European Journal of Operational Research, 193(3), 670-682.
14. Gama, R. B. (2008). The decision between the highway and railway modes to transport steel products aiming at eco-efficiency. Fluminense Federal University. Monograph, School of Human and Social Sciences: Volta Redonda, RJ [in Portuguese].
15. Garcia, P. A. A., & Jacinto, C. M. C. (2007). Use o DEA cross evaluation models to select technology in oil fuel development. In Brazil Navy Symposium in Operations Research and Logistics, Rio de Janeiro [in Portuguese].
16. Hua, Z., Bian, Y., & Liang, L. (2007). Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach Omega. The International Journal of Management Science, 35, 578-587.
17. IBGE. (2008). Annual Industrial Survey. Brazil; April 2008. Internet, Available at http://www.ibge.gov.br/Accessed on December 1, 2008 [in Portuguese].
18. Korhonen, P. J., & Luptacik, M. (2004). Eco-efficiency analysis of power plants: an extension of data envelopment analysis. European Journal of Operational Research, 154, 437-446.
19. Kuosmanen, T., & Kortelainen, M. (2005). Measuring eco-efficiency of production with data envelopment analysis. Journal of Industrial Ecology, 9, 59-72.
20. Leal Jr., I. C., & D'agosto, Márcio Almeida. (2009). Evaluation of alternatives to transport ethanol for export in Brazil considering socio-environmental aspects In: XVI SIMPEP-Simpósio de Engenharia de Produção ["Symposium on Production Engineering"]: Bauru, SP [in Portuguese].
21. Lobianco, A. T. M., & Angulo Meza, L. (2008). A proposal to determine the rankings of higher education using data envelopment analysis. In XL SBPO, João Pessoa, PB [in Portuguese].
22. Lopes, M. S., & Ferreira, J. C. F. (2004). Feasibility of transporting containers on the Tietê-Paraná and Paraguai waterways. In XVIII SOBENA, Rio de Janeiro, RJ [in Portuguese].
23. Martins, R. S., Lobo, D. S., & Pereira, S. M. (2005). Relevant attributes to the transpor of bulk agricultural products: Declared preference of cargo owners. Revista de Economia e Agronegócio; Vol. 3(2) [in Portuguese].
24. Mello, J. C. B. S., Gomes, E. G., Mello, M. H. C. S. & Lins, M. P. E. (2002) A multi-criterion method for selection of variables in DEA. Revista Pesquisa Naval, 15, 55-66 [in Portuguese].
25. ODEBRECHT. (2007). The logistics of ethanol-Perspectives of producers. Internet, available at http://www.anebrasil.org.br/periodico/Logistica%20do%20Etanol.pdf. Accessed on June 5, 2008.
26. Oliveira, L. F. R., & Leal Jr, I. C. (2009). Program for Adoption of Outsourced Companies in the Supply Chain Based on the Eco-efficiency Concept. In XI National Business and the Environment Meeting. Fortaleza, CE [in Portuguese].
27. Pereira, L. C. de S. N. (1983). Performance Evaluation of Bus Systems. COPPE/UFRJ, Master's Thesis, Transport Engineering Program. Rio de Janeiro [in Portuguese].
28. Rhodes, E. (1978) Data envelopment analysis and approaches for measuring the efficiency of decisionmaking units with an application to program follow-through in U.S. education. Pittsburgh, PA: Doctoral thesis, School of Urban and Public Affairs: Carnegie-Mellon University.
29. Rodrigues, S. B. M. (2007). Evaluation of ethanol transport alternatives in the Center-South region. USP, Mastering Dissertation, São Carlos School of Engineergin: São Carlos, SP [in Portugese].
30. Santana Filho, A. R. (1984). Evaluation of the performance of urban bus services from the viewpoint of users COPPE/UFRJ, Master's Thesis. Transport Engineering Program: Rio de Janeiro [in Portuguese].
31. Santana Filho, A. R. (1992). Evaluation of the performance of mass transit systems. Management of collective transport, Chapter VI. Rio de Janeiro: FETRANSPOR, pp. 101-120 [in Portuguese].
32. Santos, D. R. (2006). The profile of highway transport of hazardous products in the Federal District-A methodological proposal. Brazil: Federal District [in Portuguese].
33. Santos, F. R., & Angulo Meza, L. (2008). DEA models applied to the 2007 Pan American Games. In XL SBPO, João Pessoa, PB [in Portuguese].
34. TRANSPETRO. (2008). Multimodal Project for the Tietê-Paraná Waterway VI. International Symposium and Technology. Show of the Sugar/Alcohol Industry: Piracicaba, SP.
35. ÚNICA. (2008). Statistics of the Sugarcane Industry Association Internet. Available at http://www.unica. com.br/dadosCotacao/estatistica/. Accessed on December 22, 2008 [in Portuguese].
36. WBCSD. (2000). Measuring eco-efficiency. A guide to reporting company performance. Word Business Council for Sustainable Development: Geneva, Switzerland.
37. Zhang, B., Bi, J., Fan, Z., Yuan, Z. & GE, J. (2008). Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach. Ecological Economics, 68, 306-316.
38. Zhou, P., Ang, B. W., & Poh, K. L. (2008). A survey of data envelopment analysis in energy and environment studies. European Journal of Operational Research, 189, 1-18.
39. Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking-Data envelopment analysis with spreadsheet. Berlin: Springer, International series in operations research and management science.