QFD method in the generation of geoinformation technical requirements: a case in the Amazon

Diogo Luiz Ferreira; Luciano Augusto Terra Brito

doi:10.1590/0103-6513.20240149

Research Article

QFD method in the generation of geoinformation technical requirements: a case in the Amazon

Diogo Luiz Ferreira; Luciano Augusto Terra Brito

http://dx.doi.org/10.1590/0103-6513.20240149 Production, vol.35, e20240149, 2025

PDF

Downloads: 0

Abstract

Paper aims: To explore the pioneering application of the QFD methodology in cartographic production in Brazil, focusing on aligning customer expectations with technical specifications in the development of orthoimage products.

Originality: This study represents a novel approach to employing the QFD methodology in the Brazilian cartographic sector, highlighting its potential to transform customer requirements (VOC) into prioritized technical attributes, an approach not widely used in this context.

Research method: The research employs a QFD-based approach, integrating qualitative and quantitative analyses to translate customer expectations into technical specifications. The methodology was applied in the design of orthoimage maps and extracts, with a focus on customer needs and operational requirements.

Main findings: Nine customer expectations (WHATs) related to image information were identified and addressed through fifteen technical descriptors (HOWs) using the QFD methodology. The study highlights the effectiveness of QFD while emphasizing the need for clearer definitions of cartographic products, scale, and operational requirements to improve the translation of VOC into VOE.

Implications for theory and practice: This study demonstrates the feasibility and challenges of applying the QFD methodology in cartographic production. It provides insights into bridging the gap between customer expectations and technical production, emphasizing the need for structured approaches in geoinformation projects. The findings can guide future research and practice in improving cartographic product development, particularly in aligning user needs with technical capabilities.

Keywords

Quality Function Deployment (QFD), Cartographic production, Orthoimage maps, Geoinformation, Technical requirements (HOWs)

References

Ajmar, A., Boccardo, P., Disabato, F., & Giulio Tonolo, F. (2015). Rapid Mapping: geomatics role and research opportunities. Rendiconti Lincei. Scienze Fisiche e Naturali, 26(Suppl 1), 63-73. http://doi.org/10.1007/s12210-015-0410-9.

Akao, Y. (2004). Quality function deployment: integrating customer requirements into product design. Cambridge: CRC Press.

Anthamatten, P. (2020). How to make maps: an introduction to theory and practice of cartography. New York: Routledge. http://doi.org/10.4324/9781315158426.

Bezerra, E., Mafalda, S., Alvarez, A. B., Uman-Flores, D. A., Perez-Torres, W. I., & Palomino-Quispe, F. (2023). A cloud coverage image reconstruction approach for remote sensing of temperature and vegetation in the Amazon rainforest. Applied Sciences, 13(23), 12900. http://doi.org/10.3390/app132312900.

Brasil, Banco de Dados Geográficos do Exército – BDGEx. (2024). Orthoimage map Manaus-N, MI 0517-4. Brasília. Retrieved in 2024, December 22, from https://geoportal.eb.mil.br/bdgexapp

Brito, L. A. T. (2012). Maps in analog format for military use: Needs and possibilities. Rio de Janeiro: Instituto Militar de Engenharia.

Cardoso, R. L., & Diniz, F. C. (2020). Analysis of the applicability of expedited cartographic products at different levels of the Brazilian Army. Escola de Aperfeiçoamento de Oficiais, Rio de Janeiro

Castro, F. (2023, October 16). Climate crisis: severe drought in the Amazon is exacerbated by deforestation and fire. Retrieved in 2024, December 22, from https://www.wwf.org.br/?87003/Crise-climatica-seca-severa-na-Amazonia-e-agravada-por-desmatamento-e-fogo

Catalão, J. (2016). Cartographic production processes (PhD thesis). Universidade de Lisboa, Lisboa.

Cheng, L. C., & Melo Filho, L. D. R. (2010). QFD: Quality function deployment in product development management. São Paulo: Editora Blucher.

Desai, Y., Kartikeyan, B., & Panchal, N. (2016). “Hows” of quality for remote sensing data user: a house of quality approach. International Journal of Geomatics and Geosciences, 6(3), 1708-1723. [REMOVED IF= FIELD]Retrieved in 2024, December 22, from https://www.indianjournals.com/ijor.aspx?target=ijor:ijggs&volume=6&issue=3&article=007

Devaux, M. (2021). Proposed methodology for user satisfaction assessment regarding the use of geospatial data (Master's thesis). Instituto Militar de Engenharia, Rio de Janeiro.

European Space Agency (2015, July 24). Sentinel-2 MSI user guide. Retrieved in 2024, December 22, from https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi

Exército Brasileiro (2016). ET-PCDG: Especificação técnica para produtos de conjuntos de dados geoespaciais. Brasília, DF: Diretoria de Serviço Geográfico.

Gaadi, A. M. (2024). Effective strategies used by business leaders in software as a service industry faced with disruptive Technologies (Doctoral dissertation). Walden University, Minneapolis.

Ginting, R., Tarigan, U., & Panjaitan, N. (2020). Integration of quality function deployment and value engineering: A case study of designing a Texon cutting tool. Songklanakarin Journal of Science and Technology, 42(4), 771-779. Retrieved in 2024, December 22, from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085741164&partnerID=40&md5=df9728aaf975127eb0665d08d697b380

Jensen, J. R. (2009). Remote sensing of the environment: An earth resource perspective. India: Pearson Education.

Koo, M., & Yang, S.-W. (2025). Likert-type scale. Encyclopedia, 5(1), 18. http://doi.org/10.3390/encyclopedia5010018.

Lima, L. L. D. (2022). Rapid cartography for supporting military operations. Rio de Janeiro: Instituto Militar de Engenharia.

López, F. J. A., & Balboa, J. L. G. (2008). Approximating cartography to the customer’s expectations: applying the “House of Quality” to map design. Cartographica, 43(2), 107-123. http://doi.org/10.3138/carto.43.2.107.

Prasad, K. G. D., Subbaiah, K. V., & Rao, K. N. (2014). Multi-objective optimization approach for cost management during product design at the conceptual phase. Journal of Industrial Engineering International, 10(1), 48. http://doi.org/10.1007/s40092-014-0048-8.

Prudente, V. H. R., Skakun, S., Oldoni, L. V., Xaud, H. A. M., Xaud, M. R., Adami, M., & Sanches, I. D. (2022). Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, 189, 95-109. http://doi.org/10.1016/j.isprsjprs.2022.04.025.

Rodrigues, M., dos Santos, A., Lima, H., Nogueira, W., & Lucena Junior, V. (2025). Tracking boats on amazon rivers: a case study with the LoRa/LoRaWAN. Sensors (Basel), 25(2), 496. http://doi.org/10.3390/s25020496. PMid:39860866.

Santos, D. M. P. (2022). A study on the need for updating geographic mapping in the military commands of the Amazon and the North, due to the dynamics of the territory and the demands of the Brazilian Army to meet the national defense policy. Rio de Janeiro: Escola de Comando e Estado-Maior do Exército.

Szrajbman, D. (2020). Digital geoinformation: Use and needs in the Brazilian Army. Rio de Janeiro: Instituto Militar de Engenharia.

Submitted date:
01/03/2025

Accepted date:
04/23/2025

QFD method in the generation of geoinformation technical requirements: a case in the Amazon

Diogo Luiz Ferreira; Luciano Augusto Terra Brito

Abstract

Keywords

References

Links

Share

Production