A STUDY ON CHINESE CONSTRUCTION ENGINEERING THAT COMBINES BUILDING INFORMATION MODELLING, LEAN CONSTRUCTION, AND QUALITY CONTROL.

Abstract

The construction industry in China is transforming very rapidly due to the needs of competition in the marketplace and the administration’s objective of higher-quality growth. Even with these advancements, there are always issues that are getting in the way of the project's advancement. Some of these difficulties are weakening resources, having various norms, and not being held obliged adequately. The current research study aims to analyse the influence of quality control on Chinese construction engineering, especially on its integration with “Building Information Modelling (BIM) and Lean Construction” procedures. This study utilised a research method referred to as quantitative research. Data was collected from 812 industry professionals using purposive sampling, and the results were analysed using SPSS version 25. Researchers used statistical tools like factor analysis, analysis of variance, and descriptive statistics to check the validity of constructs and test hypotheses. Significant evidence of a relationship between quality control methods and better results in Chinese construction engineering was shown by the ANOVA findings, which showed an F-value of 987.654 with a p-value of.000. The results show how important quality control systems are for improving the efficiency, cost-effectiveness, safety, and customer satisfaction of a project. Research indicates that to address industrial challenges and ensure environmentally friendly growth, quality control must be integrated into the project lifecycle and bolstered by architectural data modelling, or BIM, and lean construction methodologies. Also, using new technologies like cloud computing and big data, along with old approaches, makes both accountability and decision-making better. To follow international standards, construction companies should use digital tools to their advantage, make quality control systems the same for everyone, and make staff training a top priority.