engineering and management, value for key indicators of project success: digital twin in automatic monitoring and controlling of construction

This study evaluates the impact of digital twin (dt) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. employing a mixed-methods approach, the research integrates survey data, structural equation modeling (sem), case analysis, and qualitative insights from interviews and focus groups. a novel dt-based progress monitoring management model (drx) is proposed and assessed, leveraging reality capture and extended reality (xr) technologies to streamline construction oversight. findings reveal that dt significantly improves project outcomes by automating process oversight. the drx model emerges as an innovative framework, enhancing construction management through the integration of dt and xr technologies, offering empirical insights into its efficacy and delineating its practical challenges and advantages. this study evaluates the impact of digital twin (dt) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. employing a mixed-methods approach, the research integrates survey data, structural equation modeling (sem), case analysis, and qualitative insights from interviews and focus groups. a novel dt-based progress monitoring management model (drx) is proposed and assessed, leveraging reality capture and extended reality (xr) technologies to streamline construction oversight. findings reveal that dt significantly improves project outcomes by automating process oversight. the drx model emerges as an innovative framework, enhancing construction management through the integration of dt and xr technologies, offering empirical insights into its efficacy and delineating its practical challenges and advantages.

engineering and management, value for key indicators of project success: digital twin in automatic monitoring and controlling of construction

this study evaluates the impact of digital twin (dt) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. employing a mixed-methods approach, the research integrates survey data, structural equation modeling (sem), case analysis, and qualitative insights from interviews and focus groups. a novel dt-based progress monitoring management model (drx) is proposed and assessed, leveraging reality capture and extended reality (xr) technologies to streamline construction oversight. findings reveal that dt significantly improves project outcomes by automating process oversight. the drx model emerges as an innovative framework, enhancing construction management through the integration of dt and xr technologies, offering empirical insights into its efficacy and delineating its practical challenges and advantages. this study evaluates the impact of digital twin (dt) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. employing a mixed-methods approach, the research integrates survey data, structural equation modeling (sem), case analysis, and qualitative insights from interviews and focus groups. a novel dt-based progress monitoring management model (drx) is proposed and assessed, leveraging reality capture and extended reality (xr) technologies to streamline construction oversight. findings reveal that dt significantly improves project outcomes by automating process oversight. the drx model emerges as an innovative framework, enhancing construction management through the integration of dt and xr technologies, offering empirical insights into its efficacy and delineating its practical challenges and advantages.