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 selected articles from a pool of 431 to explore how advanced digital technologies contribute to im-proving on-site labor productivity within the Architecture, Engineering, Construction, and Oper-ations (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 evaluation, 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 re-search 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
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/6fgh3
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

OSF Preprints (OSF Preprints)
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 selected articles from a pool of 431 to explore how advanced digital technologies contribute to im-proving on-site labor productivity within the Architecture, Engineering, Construction, and Oper-ations (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 evaluation, 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 re-search 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.

OSF Preprints (OSF Preprints)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
BIM and Construction Integration
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