# Integrated Digital-Twin-Based Decision Support System for
## 6 Case Study Implementation
### Results  
Simulation Results: The DT platform demonstrated its capability to efficiently identify and select modules from a pool of available units that aligned with the specific requirements of the Demo New Project. As illustrated in Table 2, the system recommended a variety of modules including machine rooms, restrooms, lobbies, teacher rooms, classrooms, and a hall. Each of these modules was classified as'reusable' and was currently in use, ready for deployment. The outcomes of the digital simulation were subsequently cross-verified through a manual inspection of the available modules proximal to the case project's location. This manual review confirmed that modules from Projects 55 and 8 not only fulfilled the case project's requirements in terms of usage schedule, condition, and module quantity but also were the closest in proximity to the test case location. This correlation between the DT system's recommendations and the manual verification highlights the system's accuracy and effectiveness in identifying the most suitable and strategically located modules for project requirements. This precise matching underscores the potential of the DT platform to significantly enhance decision-making processes in MC by ensuring optimal resource utilization and logistical efficiency. Transportation logistics: Figure 12 highlight the results of the trucking distance and time calculations for transporting the selected modules to the project site. With GIS capability, the DT platform calculated that the transportation of modules from their current \begin{table}
\begin{tabular}{l l} \hline \hline
**Requirement** & **Simulated RMS Project** \\ \hline Name & Demo New Project \\ \hline \multirow{3}{*}{Location} & Gongju Middle School, \\  & 111 Wangneung-ro, Gongju-si, \\  & Chungnam \\ \hline Long, Lat & 36.4613928, 127.1220681 \\ \hline Using schedule & 22 June 2024–11 December 2024 \\ \hline Corridor type & Two-sided \\ \hline Number of floors & 1 \\ \hline Module quantity & \\ \hline Machine room & 1 \\ Restroom male & 1 \\ Restroom female & 1 \\ Lobby & 2 \\ Staircase & 0 \\ Teacher room 1 & 2 \\ Teacher room 2 & 1 \\ Classroom & 6 \\ Hall & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Simulated project description. locations to the project site of the Demo New Project, Project 55 would take approximately 29.6 km and 32 min, demonstrating a highly efficient logistical arrangement. Similarly, for another nearby project, Project 8, the transportation route was slightly longer at 33.3 km, taking about 36 min. These results validate the platform's capacity to facilitate strategic planning for module transportation by considering proximity and optimizing travel routes to minimize time and cost. Efficiency and practicality: The platform's ability to provide quick and precise logistics solutions showcases its practicality for real-world applications. It offers facility managers a broader range of available modules, significantly aiding in the distribution and allocation of new projects. Furthermore, the utilization of GIS data enhances route planning capabilities, while the integration of real-time and historical module data ensures that the most effective logistical strategies are adopted. This allows managers to make more informed decisions regarding module selection, optimizing both allocation and transport. By leveraging the DT platform, managers can conduct multiple simulation tests to pinpoint the most efficient outcomes. This iterative testing process not only reduces operational costs but