Software optimization of resource allocation process in metro construction organizations: analysis of efficiency of existing methods

This article explores the objectives of optimal resource allocation in metro construction organizations, including improving work efficiency, reducing project duration, and minimizing costs. The primary optimization methods, such as mathematical modeling, critical path analysis, and the use of network graphs, are discussed in the context of achieving these goals. The role of project management software in providing comprehensive control over planning, resources, and execution is emphasized. Additionally, the article underscores the significance of utilizing the Python programming language and its libraries, such as Pandas, Scikit-learn, and Matplotlib, in analyzing and optimizing resource allocation in metro construction. The paper contains a case study of a software implementation of risk analysis of delivery delays in metro construction using the Python programming language and its key libraries. Pandas for data processing and analysis, NumPy for performing complex mathematical calculations, and Matplotlib for visualizing the results were used.