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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, etc.
    • E-mail: ijet@vip.163.com
IJET 2013 Vol.5(5): 541-545 ISSN: 1793-8236
DOI: 10.7763/IJET.2013.V5.614

Causality Analysis for Dynamic Quality Control in Construction

Sungkon Moon and Leonhard E. Bernold
Abstract—Traditionally, construction quality control relies on final inspection and rework if the output is not fit-for-purpose. However, this reactive approach does not guarantee compliance with the requirements. By focusing on checking to completed product, a proactive approach to prevent poor quality is thus hampered. Studies have shown that poor quality of key resources commonly results in a number of production-related problems. The premise of this paper is that inadequate resources, such as deficient material, will not only result in unacceptable product quality but also in wasted time for handling and repair. It investigates the causal relationship between process input (i.e. resource) and output quality, as the basis for a pro-active control scheme. A field test was executed to look specifically at the quality of a prefabricated material, steel reinforcing bars (rebar), as it relates to its staging for final assembly. A discussion of correlations between attributes of input quality regarding rebar and the productivity of placement will complete the paper.

Index Terms—Causality analysis, dynamic quality control, multiple regression analysis, preventive control, resource control.

The authors are with the School of Civil and Environmental Engineering, University of New South Wales, UNSW Sydney, 2052, Australia (e-mail: sungkon.moon@gmail.com, leonhard.bernold@gmail.com).


Cite:Sungkon Moon and Leonhard E. Bernold, "Causality Analysis for Dynamic Quality Control in Construction," International Journal of Engineering and Technology vol. 5, no. 5, pp. 541-545, 2013.

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