QUALICON: Computer-Based System for Construction Quality Management

Battikha, Mireille

doi:10.1061/(asce)0733-9364(2002)128:2(164)

Cited by 39 publications

(17 citation statements)

References 4 publications

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“…Existing methods for quality assurance and quality control are mainly paper-based and labourintensive, which are unreliable and ineffective [1,[16][17][18]. In order to improve current quality management performance, a number of research efforts to develop a fully automated and intelligent quality management system have been carried out in recent years.…”

Section: Related Workmentioning

confidence: 99%

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Integrating BIM and LiDAR for Real-Time Construction Quality Control

Wang

Sun

Shou

et al. 2014

J Intell Robot Syst

134

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In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at specific locations and times to represent the work in place, which limit a quality manager's abilities to easily identify and manage defects. The purpose of this paper is to develop an integrated system of Building Information Modelling (BIM) and Light Detection and Ranging (LiDAR) to come up with real-time onsite quality information collecting and processing for construction quality control. Three major research activities were carried out systematically, namely, literature review and investigation, system development and system evaluation. The proposed BIM and LiDAR-based construction quality control system were discussed in five sections: LiDAR-based real-time tracking system, BIM-based real-time checking system, quality control system, point cloud coordinate transformation system, and data processing system. Then, the system prototype was developed for demonstrating the functions of flight path control and real-time construction quality deviation analysis. Finally, three case studies or pilot projects were selected to evaluate the developed system. The results show that the system is able to efficiently identify potential construction defects and support real-time quality control.

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Section: Related Workmentioning

confidence: 99%

“…Navon [20] developed a computer vision system to perform quality assurance functions. Battikha [16] described a computer-based system for construction quality management, which can (1) define requirement for quality management;…”

Section: Related Workmentioning

confidence: 99%

Integrating BIM and LiDAR for Real-Time Construction Quality Control

Wang

Sun

Shou

et al. 2014

J Intell Robot Syst

134

View full text Add to dashboard Cite

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“…3 Quality management system in aerospace process manufacturing meet organization requirements", but does not say how to assure or demonstrate that they meet these requirements". Previous studies have shown that, on quality management there has been lack of research on how the quality system assessment processes is applied for better productivity (Chu et al 1995;Battikha 2002;Hernandez-Matias et al 2006). The implications are not only on the documentation levels but also affecting changes and revisions of existing manufacturing requirements.…”

Section: As/en 9100 and Aerospace Manufacturingmentioning

confidence: 99%

An integrated modeling method for assessment of quality systems applied to aerospace manufacturing supply chains

Harun

Cheng

2010

J Intell Manuf

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In highly regulated industries such as aerospace, the introduction of new quality standard can provide the framework for developing and formulating innovative novel business models which become the foundation to build a competitive, customer-centric enterprise. A number of enterprise modeling methods have been developed in recent years mainly to offer support for enterprise design and help specify systems requirements and solutions. However, those methods are inefficient in providing sufficient support for quality systems links and assessment. The implementation parts of the processes linked to the standards remain unclear and ambiguous for the practitioners as a result of new standards introduction. This paper proposed to integrate new revision of AS/EN9100 aerospace quality elements through systematic integration approach which can help the enterprises in business re-engineering process. The assessment capability model is also presented to identify impacts on the existing system as a result of introducing new standards.

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“…Riley and Pickering have suggested an automated total quality management system composed of quality assurance process, form libraries and report management modules [15]. Similarly, two of the previous research projects focused on developing a computer-based implementation of ISO 9000 and 9001 guidelines on how to structure and store various qualityrelated information and documents such as inspection and test plans by utilizing templates generated by the systems developed [16] [17]. These systems provide a formalism that enables contractors to implement ISO guidelines; however, they have not included an approach that leverages automated data capture technologies for creating and reasoning about as-built models during quality control processes.…”

Section: Background Researchmentioning

confidence: 99%

A formalism for utilization of sensor systems and integrated project models for active construction quality control

Akinci

Boukamp

Gordon

et al. 2006

Automation in Construction

278

148

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Defects experienced during construction are costly and preventable. However, inspection programs employed today cannot adequately detect and manage defects that occur on construction sites, as they are based on measurements at specific locations and times, and are not integrated into complete electronic models. Emerging sensing technologies and project modeling capabilities motivate the development of a formalism that can be used for active quality control on construction sites. In this paper, we outline a process of acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. We discuss the validation of this formalism based on four case studies.

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QUALICON: Computer-Based System for Construction Quality Management

Cited by 39 publications

References 4 publications

Integrating BIM and LiDAR for Real-Time Construction Quality Control

Integrating BIM and LiDAR for Real-Time Construction Quality Control

An integrated modeling method for assessment of quality systems applied to aerospace manufacturing supply chains

A formalism for utilization of sensor systems and integrated project models for active construction quality control

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