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Integration issues have been reported about approaches used in quality risk management (QRM) in medium rise residential construction projects (MRRCPs). This has led to major difficulties when attempting to improve quality outcomes in building projects, a situation that had often prevented MRRCP contractors from utilizing the benefits QRM. Apparently, they are addicted to traditional approaches such as visual inspections and professional judgements based on subjective decision-making processes, which are inadequate and are not foolproof. The purpose of this study is to utilize product management lifecycle framework (PMLF) to investigate how MRRCPs undergo development stages that are complex and risky, requiring intelligent approaches to identify, assess and mitigate issues before they occur. An emerging approach in this context for creating virtual data-based representations of real objects is the concept of Digital Twin (DT). It is examined critically by this study. Digital Twins are virtual models that mirror physical objects throughout their lifecycle, and real-time connections between the physical and virtual worlds allow DT to monitor and control physical objects from any location. Physical objects can be any living or non-living object, such as aircraft, manufacturing equipment, cars, buildings, wind turbines, food, or even people. In this study, DT is adopted as the platform for integrating QRM in MRRCPs, with the ultimate goal of enhancing product quality.
The objective is to identify quality risks in MRRCPs to establish a broader understanding of the factors that often led to substandard quality. Next the perceptions of industry practitioners to the adoption of QRM in MRRCPs are evaluated. Following an understanding of stakeholder perceived ease of use and perceived usefulness, the barriers that hinder the adoption of QRM in MRRCPs are assessed. The factors are statistically quantified, and decisions are made from a management perspective. Also, the impact of DT on QRM in construction and other industries. Lastly, the result of the first four stages of the study are applied to develop a technology acceptance framework for adoption of QRM in MRRCPs. 

For more information, please email the Graduate Research School or phone 0746 311088.