Abstract:

Construction projects involve complex task-resource interactions, making optimization crucial for timely completion and cost-effectiveness. This study applies eigenvector analysis to optimize task-resource 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.

References:

[1]. Aadharshan, V. M., and Shiny mol, J., 2020, Resource Optimization in Construction. International Research Journal of Modernization in Engineering Technology and Science, 2(4), 455 - 463.

[2]. Aboagye, A. Q., 2019, Principal Components of Variables Hypothesised to Cause Project Delays and Cost Overruns in Ghana. Rwanda Journal of Engineering, Science, Technology and Environment,, 2(1), 11 - 12.

[3]. Ahsun, A., and Elly, B., 2024, Optimizing Resource Allocation for Enhanced Project Efficiency. 1.

[4]. Bagshaw, K. B., 2021, PERT and CPM in Project Management with Practical Examples. American Journal of Operations Research,, 215 - 225. Doi: https://doi.org/10.4236/ajor.2021.114013

[5]. Boro, S. N., 2024, Linear Algebra: Eigen Values and Eigen Vectors and their Applications. International Journal for Multidisciplinary Research, 6(5), 3 - 5.

[6]. Elmabrouk, O. M., 2011, A Linear Programming Technique for the Optimization of the Activities in Maintenance Projects. International Journal of Engineering & Technology, 11(1), 27 - 28.

[7]. Ghadge, R. B., 2022, Study of Algebra of Linear Transformations. International Journal of Scientific Research in Science and Technology, 9(9), 166.

[8]. Mutinda, M. P., Okaka, J., and Mutungi, S. S., 2025, Adopting Feedback Loops to Enhance Performance in Construction Projects. Africa Habitat Review Journal, 20(1), 3127.

[9]. Nafkha, R., and Wilinski, A., 2016, The Critical Path Method in Estimating Project Duration. Information Systems in Management, 5(1), 78 - 87.

[10]. Ndidiamaka, E. P., Elohor, E. F., Ndidiamaka, N. C., Obasi, I. N., and Arinze, O. C., 2024, Project Management Using Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT). International Journal of Mathematics and Computer Sciences, 12(12), 4641 - 4650. Doi: 10.47191/ijmcr/v12i12.03