<p>This paper presents an extension of the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) model, aimed at minimizing the completion time of multiple projects. The proposed model integrates dynamic resource allocation to ensure more effective utilization of resources. It considers the performance of resource allocation across various activities and permits resource reassignment based on the current project conditions. Unlike traditional static approaches, where resource allocation for each activity is predetermined and inflexible over time, the proposed model allocates resources dynamically based on the performance of each activity. The results, accompanied by sensitivity analysis, indicate that the model can successfully prioritize critical activities and adjust resource allocation dynamically. It underscores the importance of a balanced and coordinated approach to resource allocation, emphasizing that the combined effect of multiple resources is more beneficial than focusing on individual ones. Moreover, managerial insights from this study highlight the necessity for managers to consider the relative prioritization of global resources concerning their overall impact on project outcomes. The findings underscore the value of the proposed model as a powerful tool for handling resource-constrained multi-project environments, advancing theoretical understanding and influencing project management practices.</p>