Production
https://prod.org.br/article/doi/10.1590/0103-6513.20210011
Production
Thematic Section - Advances in Analytic Hierarchy Process

Multi-criteria analysis applied to aircraft selection by Brazilian Navy

Sérgio Mitihiro do Nascimento Maêda; Igor Pinheiro de Araújo Costa; Marcos Alexandre Pinto de Castro Junior; Luiz Paulo Fávero; Arthur Pinheiro de Araújo Costa; José Victor de Pina Corriça; Carlos Francisco Simões Gomes; Marcos dos Santos

Downloads: 1
Views: 877

Abstract

Paper aims: This paper aims to select the best helicopter to be acquired by the Brazilian Navy (BN), enabling greater logistical and combat capacity in marine operations. For this purpose, we applied the AHP-TOPSIS-2N, a hybrid multicriteria method composed by the Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and two normalization procedures (2N).

Originality: In this paper, a real military case study is conducted to support the decision-making process in BN, contributing to the better performance of the Brazilian Armed Forces. The application of the methodology resulted in two lists of ordering and prioritization of helicopters, providing transparency and simplicity to the decision-making process.

Research method: We analyzed six aircraft models, considering attack helicopters used by the Armed Forces of developed countries, in the light of their operational and tactical criteria. The selected helicopter would be employed in the fire support and reconnaissance, required by the Brazilian Marine Corps Amphibious Operations.

Main findings: After the application of the method, the AH-64E APACHE was chosen as the most suitable helicopter to be acquired by the Brazilian Navy.

Implications for theory and practice: This study brings valuable contribution to academia and society, since it represents the application of a Multi-criteria Decision Analysis (MCDA) method in the state of the art to contribute to the solution of a real problem of the BN. The methodology presented in this paper can notably be used to solve real problems of the most varied types – tactical, operational and strategic – thus being a very useful method for decision-making.

Keywords

AHP-TOPSIS-2N, Multicriteria analysis, Decision-making process, Brazilian navy, Aircraft

References

Adetunji, O., Bischoff, J., & Willy, C. J. (2018). Managing system obsolescence via multicriteria decision making. Systems Engineering, 21(4), 307-321. http://dx.doi.org/10.1002/sys.21436.

Almeida, I. D. P., Corriça, J. V. P., Costa, A. P. A., Costa, I. P. de A., Maêda, S. M., Gomes, C. F. S., & dos Santos, M. (2021). Study of the location of a second fleet for the Brazilian Navy: Structuring and Mathematical Modeling Using SAPEVO-M and VIKOR Methods. ICPR-Americas 2020. Communications in Computer and Information Science, 1408, 113-124. http://dx.doi.org/10.1007/978-3-030-76310-7_9.

Altunok, T., Özpeynirci, Ö., Kazançoǧlu, Y., & Yilmaz, R. (2010). Comparative analysis of multi-criteria decision making methods for postgraduate student selection. Egitim Arastirmalari - Eurasian. The Journal of Educational Research, 40, 1-15.

Bell. (2020). BELL AH-1Z. Retrieved in 2021, March 3, from https://www.bellflight.com/military/bell-ah-1z

Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Berlin, Heidelberg: Springer Science & Business Media. http://dx.doi.org/10.1007/978-1-4615-1495-4.

Bertrand, J. W. M., & Fransoo, J. C. (2002). Operations management research methodologies using quantitative modeling. International Journal of Operations & Production Management, 22(2), 241-264. http://dx.doi.org/10.1108/01443570210414338.

Bisdikian, C., Kaplan, L. M., & Srivastava, M. B. (2013). On the quality and value of information in sensor networks. ACM Transactions on Sensor Networks, 9(4), 1-26. http://dx.doi.org/10.1145/2489253.2489265.

Boeing. (2020). AH-64 Apache. Retrieved in 2021, March 3, from https://www.boeing.com/defense/ah-64-apache/

Brasil. Ministério da Defesa. (2008 Dezembro 19) Decreto Nº 6.703, de 18 de Dezembro de 2008. Aprova a Estratégia Nacional de Defesa, e dá outras providências. Diário Oficial da República Federativa do Brasil. Retrieved in 2021, March 3, from http://www.planalto.gov.br/ccivil_03/_ato2007-2010/2008/Decreto/D6703.htm

Brasil. Ministério da Defesa. (2012). Política Nacional de Defesa e Estratégia Nacional de Defesa. Retrieved in 2021, March 3, from https://www.gov.br/defesa/pt-br/arquivos/estado_e_defesa/END-PNDa_Optimized.pdf

Cardoso, R. S., Xavier, L. H., Gomes, C. F. S., & Adissi, P. J. (2009). Uso de SAD no apoio à decisão na destinação de resíduos plásticos e gestão de materiais. Pesquisa Operacional, 29(1), 67-95. http://dx.doi.org/10.1590/S0101-74382009000100004.

Çarman, F., & Tuncer Şakar, C. (2019). An MCDM-integrated maximum coverage approach for positioning of military surveillance systems. The Journal of the Operational Research Society, 70(1), 162-176. http://dx.doi.org/10.1080/01605682.2018.1442651.

Costa, I. P. A., Castro Junior, M. A. P., Maêda, S. M. N., Fávero, L. P., Costa, A. P. A., Corriça, J. V. P., Gomes, C. F. S., & Santos, M. (2020 Dec. 03-06). Application of the AHP-TOPSIS-2N hybrid method for selection of an attack helicopter by the Brazilian Navy. In International Symposium on Analytic Hierarchy Process.

Costa, I. P. A., Sanseverino, A. M., Barcelos, M. R. S., Belderrain, M. C. N., Gomes, C. F. S., & Santos, M. (2021). Choosing flying hospitals in the fight against the COVID-19 pandemic: structuring and modeling a complex problem using the VFT and ELECTRE-MOr methods. IEEE Latin America Transactions, 19(6), 1099-1106. http://dx.doi.org/10.1109/TLA.2021.9451257.

Costa, J. F. S., Borges, A. R., & dos Santos Machado, T. (2016). Analytic hierarchy process applied to industrial location: A brazilian perspective on jeans manufacturing. International Journal of the Analytic Hierarchy Process, 8(1), 77-91.

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. London: Sage publications.

De Barros, M. D., Salles, C. A. L., Gomes, C. F. S., Da Silva, R. A., & Costa, H. G. (2015). Mapping of the scientific production on the ITIL application published in the national and international literature. Procedia Computer Science, 55, 102-111. https://doi.org/10.1016/j.procs.2015.07.013

De Souza, L. P., Gomes, C. F. S., & De Barros, A. P. (2018). Implementation of new hybrid AHP–TOPSIS-2N method in sorting and prioritizing of an it CAPEX project portfolio. International Journal of Information Technology & Decision Making, 17(04), 977-1005. http://dx.doi.org/10.1142/S0219622018500207.

Dong, Q., & Cooper, O. (2016). A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making. European Journal of Operational Research, 250(2), 521–530.

Dožić, S., & Kalić, M. (2014). An AHP approach to aircraft selection process. Transportation Research Procedia, 3, 165-174. http://dx.doi.org/10.1016/j.trpro.2014.10.102.

García, J. L., Alvarado, A., Blanco, J., Jiménez, E., Maldonado, A. A., & Cortés, G. (2014). Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Computers and Electronics in Agriculture, 100, 60-69. http://dx.doi.org/10.1016/j.compag.2013.10.009.

Gomes, L., Mury, A.-R., & Gomes, C. F. S. (1997). Multicriteria ranking with ordinal data. Systems Analysis-Modelling-Simulation, 27(2), 139-146.

Greco, S., Figueira, J., & Ehrgott, M. (2016). Multiple criteria decision analysis: state of art surveys (Vol. 37). New York: Springer. http://dx.doi.org/10.1007/978-1-4939-3094-4.

Hamurcu, M., & Eren, T. (2020). Selection of unmanned aerial vehicles by using multicriteria decision-making for defence. Journal of Mathematics, 2020, 1-11. http://dx.doi.org/10.1155/2020/4308756.

Helibras. (2020). Tiger HAD. Retrieved in 2021, March 3, from https://www.helibras.com.br/website/po/ref/Tiger_39.html

Hwang, C.-L., & Yoon, K. (1981). Methods for multiple attribute decision making. In C.-L. Hwang & K. Yoon. Multiple attribute decision making (pp. 58-191). Springer. http://dx.doi.org/10.1007/978-3-642-48318-9_3.

Kiracı, K., & Akan, E. (2020). Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets. Journal of Air Transport Management, 89, 101924. http://dx.doi.org/10.1016/j.jairtraman.2020.101924. PMid:32989347.

Lombardi Netto, A., Salomon, V. A. P., Ortiz‐Barrios, M. A., Florek‐Paszkowska, A. K., Petrillo, A., & De Oliveira, O. J. (2021). Multiple criteria assessment of sustainability programs in the textile industry. International Transactions in Operational Research, 28(3), 1550-1572. http://dx.doi.org/10.1111/itor.12871.

Marinha do Brasil (2017). Estado Maior da Armada. EMA- 305: Doutrina Militar Naval. (1. ed.). Rio de Janeiro.

Marinha do Brasil (2019). Naval Policy. Retrieved in 2021, March 3, from https://www.marinha.mil.br/politicanaval

Moreira, M. Â. L., Costa, I. P. A., Pereira, M. T., dos Santos, M., Gomes, C. F. S., & Muradas, F. M. (2021). PROMETHEE-SAPEVO-M1 a Hybrid approach based on ordinal and cardinal inputs: Multi-Criteria evaluation of helicopters to support brazilian navy operations. Algorithms, 14(5), 140. http://dx.doi.org/10.3390/a14050140.

Oliveira, A. O., Oliveira, H. L. S., Gomes, C. F. S., & Ribeiro, P. C. C. (2019). Quantitative analysis of RFID’ publications from 2006 to 2016. International Journal of Information Management, 48, 185-192. http://dx.doi.org/10.1016/j.ijinfomgt.2019.02.001.

Oliveira, A. S., Gomes, C. F. S., Clarkson, C. T., Sanseverino, A. M., Barcelos, M. R. S., Costa, I. P. A., & Santos, M. (2021). Multiple criteria decision making and prospective scenarios model for selection of companies to be incubated. Algorithms, 14(111), 1-17. http://dx.doi.org/10.3390/a14040111.

Pereira, F. de C., Verocai, H. D., Cordeiro, V. R., Gomes, C. F. S., & Costa, H. G. (2015). Bibliometric Analysis of Information Systems Related to Innovation. Procedia Computer Science, 55, 298-307. http://dx.doi.org/10.1016/j.procs.2015.07.052.

Russian Helicopters (2020). Mi-35M. Retrieved in 2021, March 3, from http://www.russianhelicopters.aero/en/helicopters/military/mi-35m.html

Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. New York, NY: McGraw-Hill. Inc.

Sánchez-Lozano, J. M., & Rodríguez, O. N. (2020). Application of Fuzzy Reference Ideal Method (FRIM) to the military advanced training aircraft selection. Applied Soft Computing, 88, 106061. http://dx.doi.org/10.1016/j.asoc.2020.106061.

Sánchez-Lozano, J. M., Salmerón-Vera, F. J., & Ros-Casajús, C. (2020). Prioritization of cartagena coastal military batteries to transform them into scientific, tourist and cultural places of interest: A gis-mcdm approach. Sustainability (Switzerland), 12(23), 1-16. http://dx.doi.org/10.3390/su12239908.

Sánchez-Lozano, J. M., Serna, J., & Dolón-Payán, A. (2015). Evaluating military training aircrafts through the combination of multi-criteria decision making processes with fuzzy logic. A case study in the Spanish Air Force Academy. Aerospace Science and Technology, 42, 58-65. http://dx.doi.org/10.1016/j.ast.2014.12.028.

Santos, M., Costa, I. P. A., & Gomes, C. F. S, (2021). Multicriteria decision-making in the selection of warships: a new approach to the AHP method. International Journal of the Analytic Hierarchy Process, 13(1). http://dx.doi.org/10.13033/ijahp.v13i1.833.

Santos, M., Quintal, R. S., da Paixão, A. C., & Gomes, C. F. S. (2015). Simulation of operation of an integrated information for emergency pre-hospital care in Rio de Janeiro Municipality. Procedia Computer Science, 55, 931-938. http://dx.doi.org/10.1016/j.procs.2015.07.111.

Şenol, M. B. (2020). Evaluation and prioritization of technical and operational airworthiness factors for flight safety. Aircraft Engineering and Aerospace Technology, 92(7), 1049-1061. http://dx.doi.org/10.1108/AEAT-03-2020-0058.

Starčević, S., Bojović, N., Junevičius, R., & Skrickij, V. (2019). Analytical hierarchy process method and data envelopment analysis application in terrain vehicle selection. Transport, 34(5), 600-616. http://dx.doi.org/10.3846/transport.2019.11710.

Suharyo, O. S., Manfaat, D., & Armono, H. D. (2017). Establishing the location of naval base using fuzzy MCDM and covering technique methods: A case study. International Journal of Operations and Quantitative Management, 23(1), 61-87. Retrieved in 2021, March 3, from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014439577&partnerID=40&md5=f46baba391bd10544ce5f43d4b1f7750

Turkish Aerospace (2020). T129 ATAK. Retrieved in 2021, March 3, from https://www.tai.com.tr/en/product/t129-atak

Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1-29. http://dx.doi.org/10.1016/j.ejor.2004.04.028.

Wang, J., Fan, K., Su, Y., Liang, S., & Wang, W. (2008 Oct 10-12). Air combat effectiveness assessment of military aircraft using a fuzzy AHP and TOPSIS methodology. In 7th International Conference on System Simulation and Scientific Computing (pp. 655-662). Beijing, China: IEEE. https://doi.org/10.1109/ASC-ICSC.2008.4675442.

Zhang, C., Ma, C.-B., & Xu, J.-D. (2005, Ago 27-29). A new fuzzy MCDM method based on trapezoidal fuzzy AHP and hierarchical fuzzy integral. In Second International Confernce on Fuzzy Systems and Knowledge Discovery (pp. 466-474). Changsha, China. Retrieved in 2021, March 3, from https://www.scopus.com/inward/record.uri?eid=2-s2.0-26944467567&partnerID=40&md5=42c5462050765996ac66dd621ccbf823

Zhang, H., Kang, B., Li, Y., Zhang, Y., & Deng, Y. (2012). Target threat assessment based on interval data fusion. Journal of Computer Information Systems, 8(6), 2609-2616. Retrieved in 2021, March 3, from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861421837&partnerID=40&md5=b3bda65a8b9244eff9a6bc3e81f78941
 


Submitted date:
03/03/2021

Accepted date:
06/30/2021

61127ca4a953954f90242224 production Articles
Links & Downloads

Production

Share this page
Page Sections