A Digital Twin Model for an Integrated In-Situ Production and Yard-Stock Optimization of Precast Concrete Components Leveraging BIM Technology

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Digital Twin (DT) technology has become a cornerstone of data-driven decision-making in the construction industry through its simulation and predictive capabilities. The integration of Building Information Modeling (BIM) and DT forms a closed-loop system that delivers dynamic operational insights, including predictive maintenance, performance tracking, and risk assessment. This study introduces a BIM-enabled DT framework designed to optimize in-situ production and stockyard management of precast concrete (PC) components. Utilizing the Oracle Crystal Ball simulation tool, probabilistic scheduling and CO₂ emissions optimization were conducted. Results showed potential reductions exceeding 10% in project duration and up to 8.7% in environmental impact. The framework was validated through application to a large-scale logistics warehouse project, providing practical insights for sustainable construction planning.

Article activity feed