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    Evaluating the Impact of Building Information Modeling on Optimizing Quality Management Processes in the Construction Industry

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    Date
    2023-09
    Author
    Wijesinghe, LADCN
    Jayasooriya, SD
    Atapattu, AGKMWS
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    Abstract
    The construction industry is critical to the nation's economic progress. However, due to an insufficient quality management procedure, this industry has been plagued by considerable problems, including the failure to complete projects within the triple constraints. The purpose of this research is to assess the impact of Building Information Modelling (BIM) on the optimization of quality management processes in building projects. Cost overruns, project delays, and ineffective quality control methods are all issues confronting the construction sector. BIM has emerged as a viable solution for addressing these difficulties by offering a digital platform that improves project stakeholders' cooperation, information flow, and decision-making. The aims of this research were attained utilizing qualitative and quantitative data acquired through a comprehensive questionnaire survey and detailed literature survey. The sum of circulated questionnaires was 40 and the number of responses was 75%. Correlation & regression analysis done with the use of SPSS software to analyse the collected data. According to the findings of the study, there is a substantial beneficial association between BIM dimensions (3D, 4D, and 5D) and quality management. According to regression analysis, the adoption of 3D BIM has the greatest influence on quality management, followed by 4D BIM (time) and 5D BIM (cost). According to the study, BIM may greatly improve quality management procedures in building projects. It suggests boosting awareness, encouraging stakeholder collaboration, and developing standardised BIM guidelines for optimal adoption. More empirical research is required to fully realise the benefits of BIM in quality management.
    URI
    http://ir.kdu.ac.lk/handle/345/7437
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    • Built Environment and Spatial Sciences [39]

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