Automation of pre-assembly BIM, Dynamo and Augmented Reality to optimize execution time of metal formwork for vertical elements in multi-family

Autores/as

  • Jorge De La Torre Salazar Universidad Peruana de Ciencias Aplicadas - (PE), Perú
  • Neily Altamirano Universidad Peruana de Ciencias Aplicadas - (PE), Perú
  • Melvin Churata Universidad Peruana de Ciencias Aplicadas - (PE), Perú

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.1797

Palabras clave:

Automation, pre-assembly, BIM, Dynamo, Augmented Reality, Time, Metal Formwork

Resumen

In multi-family housing projects in Metropolitan Lima, vertical metal formwork is a critical activity that often causes schedule delays. Therefore, this research evaluates the automation of pre-assembly using Building Information Modeling (BIM), Dynamo, and Augmented Reality (AR). To reduce execution times, a methodology was applied that integrates automated modeling processes in Revit and Dynamo, as well as construction simulation in Navisworks, to analyze the performance and productivity of the metal formwork. Augmented Reality was used as a real-time visualization tool to guide on-site assembly. Finally, the proposal was validated through expert judgment in the construction sector, ensuring its relevance and applicability. The results obtained show a 79% improvement in performance, a 70% reduction in labor costs, and a 41% increase in the Schedule Performance Index (SPI). These findings demonstrate that automating pre-assembly using BIM, Dynamo, and AR significantly optimizes the execution time of vertical metal formwork, making it an innovative, efficient, and applicable solution for improving productivity and performance on construction sites.

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Publicado

2026-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

De La Torre Salazar, J., Altamirano, N., & Churata, M. (2026). Automation of pre-assembly BIM, Dynamo and Augmented Reality to optimize execution time of metal formwork for vertical elements in multi-family. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.1797