Project Task – Resource Optimization using Eigen Vector Analysis: A Case Study of a 3-Bedroom Bungalow Construction

Construction projects involve complex task-resource interactions, making optimization crucial for timely completion and cost-effectiveness.This study applies eigenvector analysis to optimize taskresource allocation in construction projects, using a 3-bedroom bungalow case study.A matrix was developed representing tasks to be performed against resource utilization and eigenvector centrality measures applied to identify critical resources and tasks.The analysis revealed key resources driving the project timelines, enabling efficient allocation and minimizing delays.By prioritizing tasks and resources based on their centrality scores, project managers can streamline workflows, reduce idle time, and enhance productivity.The results demonstrate significant improvements in resource utilization, project duration, and overall efficiency.This approach provides valuable insights for construction project managers, enabling data-driven decision-making and optimized resource allocation.The study contributes to the growing body of research on applying network analysis techniques to construction project management, offering a practical tool for improving project outcomes.By leveraging eigenvector analysis, construction professionals can better navigate complex project dynamics, mitigate risks, and deliver projects on time and within budget.