Priority Modes of Transport for Soybeans from the Center-West Region in Brazil

  • Cristina Corrêa de OliveiraEmail author
  • Danilo Medeiros de Castro
  • Nélio Fernando dos Reis
  • João Gilberto Mendes dos Reis
  • Jair Minoro Abe
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 459)


Choosing modes of transport for agricultural production involves uncertainties and decisions that affect logistics costs in the transportation of grains. This article intends to explain the use of the Paraconsistent Decision Method based on the Evidential Annotated Paraconsistent Logic Eτ in the decision-making process involving experts in priority modes of transport in Agribusiness logistics. It deals specifically with the distribution and export of soybeans, the main Brazilian commodity, to the major Brazilian ports, considering the aspects and features of each mode of transport. Exploratory research was used and data were collected from questionnaires about the modes of transport. Results indicate that experts have chosen modes of transport with numeric outputs, where free costs and payable costs were considered, thereby pointing out the features that should be taken into account in each mode.


Grains Paraconsistency Decision-making Soybean 


  1. 1.
    Abe, J.M.: Paraconsistent artificial neural networks: an introduction. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 942–948. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Da Silva Filho, J.I., Torres, G.L., Abe, J.M.: Uncertainty Treatment Using Paraconsistent Logic - Introducing Paraconsistent Artificial Neural Networks, vol. 211, p. 328. IOS Press, Netherlands (2010)Google Scholar
  3. 3.
    Central Intelligence Agency: The world fact book.
  4. 4.
    Brasil, Ministério da Agricultura Pecuária e Abastecimento, Secretaria de Política Agrícola: Cultura de Soja, Brasília (2015)Google Scholar
  5. 5.
    Brasil, Ministério da Agricultura, Pecuária e Abastecimento: Projeções do Agronegócio: Brasil 2013/2014 a 2023/2024 projeções de longo prazo (2014)Google Scholar
  6. 6.
    Brasil, Ministério Desenvolvimento, Indústria e Comércio Exterior, Secretaria de Comércio Exterior: Aliceweb.
  7. 7.
    Brasil, Ministério do Desenvolvimento, Indústria e Comércio Exterior: Balança Comercial Brasileira Dados Consolidados (2015)Google Scholar
  8. 8.
    Zikmund, W.G., Babin, B.J., Carr, J.C., Griffin, M.: Business Research Methods, 8th edn. South-Western College Pub, Mason (2009)Google Scholar
  9. 9.
    Junior, I.C.L., de Almeida D’Agosto, M.: Modal choice for transportation of hazardous materials: the case of land modes of transport of bio-ethanol in Brazil. J. Cleaner Prod. 19, 229–240 (2011)CrossRefGoogle Scholar
  10. 10.
    Ballou, R.H.: Gerenciamento da Cadeia de Suprimentos. Bookman, Porto Alegre (2001)Google Scholar
  11. 11.
    Brasil, Ministério dos Transportes: Projeto de Reavaliação de Estimativas e Metas do PNLT (2012)Google Scholar
  12. 12.
    Brasil, Agência Nacional de Transportes Terrestres.
  13. 13.
    The World Bank: How to Decrease Freight Logistics Costs in Brazil. The World Bank, Washington, D.C. (2012)Google Scholar
  14. 14.
    Saaty, T.L.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48(1), 9–26 (1990)zbMATHCrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Cristina Corrêa de Oliveira
    • 1
    Email author
  • Danilo Medeiros de Castro
    • 2
  • Nélio Fernando dos Reis
    • 1
  • João Gilberto Mendes dos Reis
    • 1
  • Jair Minoro Abe
    • 1
  1. 1.Graduate Program in Production EngineeringPaulista UniversitySão PauloBrazil
  2. 2.Grande Dourados Federal UniversityDouradosBrazil

Personalised recommendations