Analysis of the use of artificial intelligence in the allocation of resources in projects

Abstract

This research focuses on the relationship between artificial intelligence (AI) and project management, specifically on the task of assigning labor-type resources (people) to projects. The main motivation was to automate the assignment of human resources to different projects with the help of artificial intelligence. The K-Means algorithm (a machine learning algorithm) was selected among different alternatives as the most appropriate to perform the resource allocation. For its validation, different tests were performed by varying the number of employees, projects and competencies in different scenarios. Satisfactory tests were carried out on the allocation of resources, distributing them in a maximum of 10 projects. Additionally, the uncertainty of the results was analyzed with the metrics "Silhouette Index" and "Davis-Bouldin Evaluation Score", finding limitations the higher the number of projects, number of data and their quality. Artificial intelligence is a powerful tool to support a project manager, but in no case to replace him.