Abstract
The Brazilian Navy's main mission is to control maritime areas, deny the use of the sea to the enemy and design the Naval Power, thus defending the Brazilian Jurisdictional Waters (BJW). For this, a robust naval force is needed to enable the fulfillment of its mission. The Brazilian Navy Fleet is located in the interior of Guanabara Bay, where the Port of Rio de Janeiro is also located. This fact weakens the National Defense since there is the possibility of carrying out, by ships, submarines, or mines enemies, a dam or blockade of the only exit to the sea. Therefore, this paper aims to select the most suitable city to be the headquarters of the Second Fleet of the Brazilian Navy. Several localities distributed throughout practically all navigable areas of the Brazilian territory were analyzed as possible headquarters for the Second Squadron. For the structuring of the problem, the Soft Systems Methodology (SSM) was used. For the decision-making process, hybrid modeling was used, with the SAPEVO-M method to obtain the weights of the criteria and the VIKOR method for the evaluation of alternatives. For the composition of the model, the criteria Distance to the Sea (KM), Width of Departure (KM), Distance from Rio de Janeiro (MN), Infrastructure for Repairs, and State of the Sea (Scale) were selected. After the application of the methods, the city of Belém was selected as the most indicated to be the headquarters of the new Brazilian Fleet.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Brasil. National Defense Strategy (END) [Internet] (2012). Accessed 10 Aug 2020, https://www.defesanet.com.br/defesa/noticia/32308/END---Estrategia-Nacional-de-Defesa/
Marinha do Brasil. Naval Policy [Internet] (2019). Accessed 10 Aug 2020, https://www.marinha.mil.br/politicanaval
Leal Ferreira, E.B.: The second fleet, the Amazon and the South Atlantic [Internet]. Bonifácio (2019). Accessed 14 Aug 2020, https://bonifacio.net.br/a-segunda-esquadra-a-amazonia-e-o-atlantico-sul/
dos Santos, M., da Costa, M., dos Reis, M.F.: Using the branch and bound algorithm to optimize the production of a plastic products industry. Rev. Trab. Acadêmicos Lusófona. 2(2), 217–37 (2019)
de Teixeira, L.F.H.S.B., Ribeiro, P.C.C., Gomes, C.F.S., dos Santos, M.: Use of the SAPEVO-M method with SCOR 12.0 model parameters for ranking suppliers in a supply chain for hospital material in the Brazilian Navy. Revista Pesquisa Naval, no. 31, pp. 1–13 (2019)
Cinelli, M, Kadziński, M, Gonzalez, M, Słowiński, R.: How to Support the Application of Multiple Criteria Decision Analysis? Let Us Start with a Comprehensive Taxonomy. Omega. 2020;102261.
Bandeira, M.C.G.S.P., Mattos, R.I., Belderrain, M.C.N., Correia, A.R., Kleba, J.B.: Business model in an agricultural community: Application of Soft Systems Methodology and Strategic Choice Approach (2018)
Rosenhead, J., Mingers, J.: Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflict. Wiley, Chichester (2001)
dos Santos, M.: Proposta de Modelagem Atuarial aplicada ao setor militar considerando influências econômicas e biométricas. [Niterói, RJ]: Tese de Doutorado apresentada no Programa de Pós-Graduação em Engenharia de Produção da Universidade Federal Fluminense. Niterói, RJ (2018)
Checkland, P.B.: Systems theory. Systems Practice Wiley, Chichester (1981)
Rose, J.: Soft systems methodology as a social science research tool. Syst. Res. Behav. Sci. Off. J. Int. Fed. Syst. Res. 14(4), 249–58 (1997)
Marinha. Escala Douglas do Estado do Mar [Internet]. Centro de Hidrografia da Marinha (2020). Accessed 14 Aug 2020, https://www.marinha.mil.br/chm/sites/www.marinha.mil.br.chm/files/u2035/estado_do_mar.pdf
Gomes, L.: Gomes CFS. Princípios e métodos para a tomada de decisão: Enfoque multicritério. São Paulo: Atlas (2019)
Gomes, L., Mury, A.-R., Gomes, C.F.S.: Multicriteria ranking with ordinal data. Syst. Anal. 27(2), 139–46 (1997)
de Teixeira, L.F.H.S.B., dos Santos, M., Gomes, C.F.S.: Python proposal and implementation of the Simple Aggregation of Preferences Expressed by Ordinal Vectors-Multi Decision Makers method: a simple and intuitive web tool for Decision Support. Simpósio Pesqui Operacional e Llogística da Mar 19, 1–12 (2019)
dos Santos, M., de Oliveira, N.C., de Oliveira, P.F.C., Gomes, C.F.S.: Application of the SAPEVO-M multicriteria method in the selection of equipment: a case study in a bakery in RJ. An do XIX Simpósio Pesqui Operacional e Logística da Mar Rio Janeiro, RJ (2019)
Grego, T., Santos, M., Gomes, C.F.S., Lima, A.R.: Choosing a Troop Landing Ship for the Argentine Navy using the SAPEVO Method with Multiple Decision Makers (SAPEVO M). An do XXI Simpósio Apl Operacionais em Áreas Defesa-SIGE (2019)
Teixeira, L.F.H.S.B., dos Santos, M., Gomes, C.F.S.: SapevoWeb Software (v.1), sob registro INPI: BR512020000667–1 [Internet] (2018). Accessed 14 Aug 2020, https://www.sapevoweb.com/
Duckstein, L., Opricovic, S.: Multiobjective optimization in river basin development. Water Resour. Res. 16(1), 14–20 (1980)
Opricovic, S., Tzeng, G.: Multicriteria planning of post-earthquake sustainable reconstruction. Comput. Civil Infrastruct. Eng. 17(3), 211–220 (2002)
Opricovic, S., Tzeng, G.-H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156(2), 445–455 (2004)
Vikor Software. Vikor Software [Internet] (2020). Accessed 14 Aug 2020, https://soft.onlineoutput.com/vikor?entry=%2FK7rpuRJ5TI14mDYRROxySKDAxLHA7dlp67mE18o2pg%3D
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
de Almeida, I.D.P. et al. (2021). Study of the Location of a Second Fleet for the Brazilian Navy: Structuring and Mathematical Modeling Using SAPEVO-M and VIKOR Methods. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-76310-7_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-76309-1
Online ISBN: 978-3-030-76310-7
eBook Packages: Computer ScienceComputer Science (R0)