Benefits of Terrestrial Laser Scanning for Construction QA/QC: A Time and Cost Analysis

Tang, Xiaoying; Wang, Mengjun; Wang, Qian; Guo, Jingjing; Zhang, Jingxiao

doi:10.1061/(asce)me.1943-5479.0001012

Cited by 20 publications

(10 citation statements)

References 43 publications

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“…Existing studies have focused on reporting the individual application of digital technologies to specific QA problems. These include the following: Tang et al [18] argued quantitatively to understand the cost and time benefits of deploying terrestrial laser scanning (TLS) for construction QA. The result demonstrated that the TLS-based QA approach is more efficient than the conventional QA approach due to reduced data collection time.…”

Section: Introductionmentioning

confidence: 99%

Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0

Ghansah,

Edwards

2024

Buildings

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Despite the growing rich and fragmented literature focusing on quality assurance (QA) and Industry 4.0, the implementation of associated individual digital technologies has not been fully evaluated and synthesised to achieve adequate QA in the construction industry; hence, it has received limited focus. This study, thus, aimed to organise, evaluate, and synthesise the current literature on individual digital technology applications in QA in the construction industry and propose future research directions. A literature review approach was adopted for this study along with Deming’s cycle framework to address four research questions: (1) What is the status of the state-of-the-art in the literature? (2) What digital technologies have been applied for QA in the construction industry? (3) Which areas in QA processes have experienced digital technology applications, and what are the applications? (4) What are the limitations of the existing studies and future research directions of digital technologies for QA in the construction industry? The findings showed an increasing trend of research on digital technology for QA in construction since 2017. This cuts across 23 countries with six different research methods published across 18 different publication sources. Four categories of digital technologies were revealed to have been adopted for QA in construction based on the functionality of the technologies: data collection technologies, decision-oriented technologies, collaborative technologies, and transparency and security-related technologies. Evaluation with Deming’s cycle framework revealed that digital technologies have a high level of application at the “do” phase, improving the quality management process during construction towards achieving pre-stated quality requirements. This includes mostly collaborative technologies, consisting of BIM technologies. Limitations of the existing studies were further identified, and this led to five research directions: interoperability of technology development, integrated digital technologies for QA of prefabricated and modular construction, integrated digital technologies for QA of cross-border construction logistics and supply chain, digital innovation for sustainable QA, and moving beyond the technical solution. The study showed a significant contribution to both academia and the industry in the built environment.

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Section: Introductionmentioning

confidence: 99%

Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0

Ghansah,

Edwards

2024

Buildings

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“…This commitment set out in the government's 2011 building strategy, is one of the decisions taken as part of the UK government's work process to reduce the cost of state building projects by 15-20% (Cabinet Office, 2011). (Ganah & John, 2015) In the AEC industry, the dominant data collection techniques are Light Detection and Ranging (LiDAR), also known as Laser Detection and Ranging (LADAR), or 3D laser scanning, photogrammetry and videogrammetry systems, as opposed to other methods such as Radio Frequency Identification (RFID) and barcode tagging (Tang et al, 2022;Sadeghineko & Kumar, 2020b). The 3D laser scanning methodology produces a collection of 3D point measurements commonly referred to as point cloud data (PCD).…”

Section: Review Of Existing Workmentioning

confidence: 99%

Methodology for retrospectively developing a BIM model from point cloud scans using ongoing building project as case study

Lawani,

Sadeghineko,

Tong

et al. 2024

JEDT

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Purpose The purpose of this study is to explore the suggestions that construction processes could be considerably improved by integrating building information modelling (BIM) with 3D laser scanning technologies. This case study integrated 3D laser point cloud scans with BIM to explore the effects of BIM adoption on ongoing construction project, whilst evaluating the utility of 3D laser scanning technology for producing structural 3D models by converting point cloud data (PCD) into BIM. Design/methodology/approach The primary data acquisition adopted the use of Trimble X7 laser scanning process, which is a set of data points in the scanned space that represent the scanned structure. The implementation of BIM with the 3D PCD to explore the precision and effectiveness of the construction processes as well as the as-built condition of a structure was precisely captured using the 3D laser scanning technology to recreate accurate and exact 3D models capable of being used to find and fix problems during construction. Findings The findings indicate that the integration of BIM and 3D laser scanning technology has the tendency to mitigate issues such as building rework, improved project completion times, reduced project cost, enhanced interdisciplinary communication, cooperation and collaboration amongst the project duty holders, which ultimately enhances the overall efficiency of the construction project. Research limitations/implications The acquisition of data using 3D laser scanner is usually conducted from the ground. Therefore, certain aspects of the building could potentially disturb data acquisition; for example, the gable and sections of eaves (fascia and soffit) could be left in a blind spot. Data acquisition using 3D laser scanner technology takes time, and the processing of the vast amount of data acquired is laborious, and if not carefully analysed, could result in errors in generated models. Furthermore, because this was an ongoing construction project, material stockpiling and planned construction works obstructed and delayed the seamless capture of scanned data points. Originality/value These findings highlight the significance of integrating BIM and 3D laser scanning technology in the construction process and emphasise the value of advanced data collection methods for effectively managing construction projects and streamlined workflows.

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“…Other CTs include the disruptive big9 technologies, including drones, the internet of things, clouds, software as a service, big data, 3D scanning, wearable technologies, virtual and augmented realities, and artificial intelligence and robotics [26]. In addition, other CTs, such as machine learning, 3D printing, laser scanning, and blockchains, have also increased collaboration among construction project stakeholders [27,28].…”

Section: Collaboration Technologiesmentioning

confidence: 99%

Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach

et al. 2022

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Construction processes are complex and dynamic. Like its other components, the construction supply chain (CSC) involves multiple stakeholders requiring varying levels of information sharing. In addition, the intensity and diversity of information in CSCs require dexterous management. Studies reveal that information complexity can be reduced using collaborative technologies (CTs). However, the barriers to information management (IM) hinder the CTs’ adoption process and cause complexity in CSCs. This research identifies barriers to IM and factors affecting the adoption of CTs in developing countries. In order to understand and address complexity, the system dynamics (SD) approach is adopted in this study. The aim is to investigate if SD can reduce information complexity using CTs. Causal loop diagrams (CLDs) were developed to understand the relationship between the IM barriers and CT adoption factors. The SD model, when simulated, highlighted three main components, i.e., complexity, top management support, and trust and cooperation, among others, as factors affecting the adoption of CTs. Addressing these factors will reduce information complexity and result in better IM in construction projects.

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Benefits of Terrestrial Laser Scanning for Construction QA/QC: A Time and Cost Analysis

Cited by 20 publications

References 43 publications

Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0

Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0

Methodology for retrospectively developing a BIM model from point cloud scans using ongoing building project as case study

Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach

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