IGLC.net
EXPORT DATE: 19 June 2026

@CONFERENCE{Paucar2026,
author={Paucar, Anthony and Romaní, Jordan and Rivera, Coraima and Villar, Jesús and Erazo, Andrews and Braul, Andrea and Rojas, Jorge },
editor={Hamzeh, Farook and Poshdar, Mani and Garcia-Lopez,, Nelly P. },
title={Choosing By Advantages to select a drone for an educational surveying project}, 
journal={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
booktitle={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
year={2026},
pages={181-193},
url={http://www.iglc.net/papers/details/2539},
doi={10.24928/2026/0244},
affiliation={Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, apaucare@uni.pe, orcid.org/0000-0002-5369-1584 ; Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, jordan.romani.c@uni.pe, orcid.org/0009-0007-3327-9713 ; Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, coraima.rivera.n@uni.pe, orcid.org/0009-0008-3629-0288 ; Student Researcher, School of Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru, jesus.villar.v@uni.pe, orcid.org/0009-0008-8461-9711 ; Teaching Assistant, School of Civil Engineering, Universidad Continental, Huancayo, Peru, aerazo@continental.edu.pe, orcid.org/0000-0002-5639-573X ; Instructor, School of Civil Engineering, Pontificia Universidad Católica del Perú, Lima, Peru, andrea.braul@pucp.pe, orcid.org/0000-0002-1379-2591 ; PhD. Candidate, Lyles School of Civil and Construction Engineering, Purdue University, Indiana, USA, rojas27@purdue.edu, 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. },
author_keywords={Decision-making, Choosing by Advantages, drone, Construction 4.0. },
address={Singapore, Singapore },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}