34th Annual Conference of the International Group for Lean Construction (IGLC 34) - Singapore, Singapore - 2026

https://doi.org/10.24928/2026/0244

Choosing By Advantages to select a drone for an educational surveying project

Anthony Paucar1, Jordan Romaní2, Coraima Rivera3, Jesús Villar4, Andrews Erazo5, Andrea Braul6 & Jorge Rojas7

1Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, [email protected], orcid.org/0000-0002-5369-1584
2Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, [email protected], orcid.org/0009-0007-3327-9713
3Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, [email protected], orcid.org/0009-0008-3629-0288
4Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, [email protected], orcid.org/0009-0008-8461-9711
5Teaching Assistant, School of Civil Engineering, Universidad Continental, Huancayo, Peru, [email protected], orcid.org/0000-0002-5639-573X
6Instructor, School of Civil Engineering, Pontificia Universidad Católica del Perú, Lima, Peru, [email protected], orcid.org/0000-0002-1379-2591
7PhD. Candidate, Lyles School of Civil and Construction Engineering, Purdue University, Indiana, USA, [email protected], orcid.org/0000-0001-9372-0864

Abstract

Selecting drones for surveying and monitoring in construction projects is a complex multi-criteria decision-making problem, particularly in the context of Construction 4.0 and engineering education. This study applies the Choosing by Advantages (CBA) method to support the selection of a drone for photogrammetric surveying in an academic construction case study. Four commercially available drones were evaluated using nine technical factors grouped into three categories: environmental (wind resistance, waterproof protection, operating temperature range), operational (maximum flight time, payload capacity, maximum flight speed), and data acquisition (camera resolution, frame rate, field of view). The results indicate that the drone achieving the highest total Importance of Advantages (IoA) score was the most suitable option, primarily due to the site’s environmental and climatic requirements. Overall, the findings highlight that advantages associated with environmental and contextual factors are the most influential in selecting drones for construction management education, surpassing operational performance and data capture capabilities. This provides an evidence-based reference framework for educational stakeholders when selecting drones for adoption in construction-related teaching, research, and training.

Keywords

Decision-making, Choosing by Advantages, drone, Construction 4.0.

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Reference in APA 7th edition format:

Paucar, A., Romaní, J., Rivera, C., Villar, J., Erazo, A., Braul, A. & Rojas, J.. (2026). Choosing By Advantages to select a drone for an educational surveying project. In Hamzeh, F., Poshdar, M., & Garcia-Lopez,, N. P. (Eds.), Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) (pp. 181–193). https://doi.org/10.24928/2026/0244

Shortened reference for use in IGLC papers:

Paucar, A., Romaní, J., Rivera, C., Villar, J., Erazo, A., Braul, A. & Rojas, J.. (2026). Choosing By Advantages to select a drone for an educational surveying project. IGLC34. https://doi.org/10.24928/2026/0244

 

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