From BIM to UAVs: A Systematic Review of Digital Solutions for Productivity Challenges in Construction

The construction industry faces persistent productivity challenges due to limited investments in quality assessment and inefficient resource management. This study systematically reviews 28 se-lected articles from a pool of 431 to explore how advanced digital technologies enhance productivity in the Architecture, Engineering, Construction, and Operations (AECO) sector. Key technologies analyzed include Building Information Modeling (BIM), photogrammetry, Lidar, augmented reality (AR), global navigation satellite systems (GNSS), RFID, and unmanned aerial vehicles (UAVs). These technologies fall into three categories: factors affecting productivity, modeling and evalua-tion, and productivity improvement methods. Findings highlight BIM’s pivotal role in streamlining workflows, improving coordination, and reducing errors, alongside the potential of computer vision for automated progress tracking. Integrating these innovations enhances resource allocation, lowers labor costs, and improves scheduling. While digital technologies significantly impact construction productivity, further research is needed to quantify long-term benefits and scalability. Embracing these advancements is crucial for modernization and sustainable growth in the era of Industry 4.0.

Publication Details

Journal
Open Repository of the University of Porto (University of Porto)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/pfkub
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

From BIM to UAVs: A Systematic Review of Digital Solutions for Productivity Challenges in Construction

Open Repository of the University of Porto (University of Porto)
BIM and Construction Integration
article

From BIM to UAVs: A Systematic Review of Digital Solutions for Productivity Challenges in Construction

article en

Abstract

The construction industry faces persistent productivity challenges due to limited investments in quality assessment and inefficient resource management. This study systematically reviews 28 se-lected articles from a pool of 431 to explore how advanced digital technologies enhance productivity in the Architecture, Engineering, Construction, and Operations (AECO) sector. Key technologies analyzed include Building Information Modeling (BIM), photogrammetry, Lidar, augmented reality (AR), global navigation satellite systems (GNSS), RFID, and unmanned aerial vehicles (UAVs). These technologies fall into three categories: factors affecting productivity, modeling and evalua-tion, and productivity improvement methods. Findings highlight BIM’s pivotal role in streamlining workflows, improving coordination, and reducing errors, alongside the potential of computer vision for automated progress tracking. Integrating these innovations enhances resource allocation, lowers labor costs, and improves scheduling. While digital technologies significantly impact construction productivity, further research is needed to quantify long-term benefits and scalability. Embracing these advancements is crucial for modernization and sustainable growth in the era of Industry 4.0.

Open Repository of the University of Porto (University of Porto)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
BIM and Construction Integration
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From BIM to UAVs: A Systematic Review of Digital Solutions for Productivity Challenges in Construction · Open Repository of the University of Porto (University of Porto) (2025) | TGRS Research Map | TGRS