Level:
Advanced
TCM Section(s):
9.2. Progress and Performance Measurement
11.3. Information Management
Venue: 2022 AACE International Conference & Expo
Abstract: Robust project controls are a must-have mechanism for successful project management. Timely and reliable project controls data is crucial to diagnose the project's current status, predict the project's future performance, and manage risks. However, traditional project controls practices, tools, and techniques are not standardized, sophisticated, consistent, objective, synthesized, or connected enough to support project management in its entirety. The project team's lack of commitment and trust in project controls are not uncommon due to past experiences with impractical and unreliable project controls mechanisms. With increasing complexity and resource constraints, projects need to have comprehensive and reliable project controls. The negative impact of project complexity and risks on schedule, cost, quality, and safety can be effectively and efficiently managed only by implementing multi-dimensional, design-centric, and data-driven project controls approaches such as digital twin (DT). DT is a promising project controls approach where a real-time virtual replica of physical structure functions as a single-source-of-truth. It helps establish a plan, monitor and control progress, measure the project's current state, forecast its trend, manage risks, and communicate project status with stakeholders. However, incorporating DT into existing project controls practices does not guarantee successful implementation unless the practices meet critical success criteria. This paper reviews current practices, barriers, enablers, opportunities, and future trends for project controls with digital twin and advanced technologies.
TCM Section(s):
9.2. Progress and Performance Measurement
11.3. Information Management
Venue: 2022 AACE International Conference & Expo
Abstract: Robust project controls are a must-have mechanism for successful project management. Timely and reliable project controls data is crucial to diagnose the project's current status, predict the project's future performance, and manage risks. However, traditional project controls practices, tools, and techniques are not standardized, sophisticated, consistent, objective, synthesized, or connected enough to support project management in its entirety. The project team's lack of commitment and trust in project controls are not uncommon due to past experiences with impractical and unreliable project controls mechanisms. With increasing complexity and resource constraints, projects need to have comprehensive and reliable project controls. The negative impact of project complexity and risks on schedule, cost, quality, and safety can be effectively and efficiently managed only by implementing multi-dimensional, design-centric, and data-driven project controls approaches such as digital twin (DT). DT is a promising project controls approach where a real-time virtual replica of physical structure functions as a single-source-of-truth. It helps establish a plan, monitor and control progress, measure the project's current state, forecast its trend, manage risks, and communicate project status with stakeholders. However, incorporating DT into existing project controls practices does not guarantee successful implementation unless the practices meet critical success criteria. This paper reviews current practices, barriers, enablers, opportunities, and future trends for project controls with digital twin and advanced technologies.