Proposal of a Storage Methodology for Asset Management, Using Artificial Intelligence Techniques, to Make Unit Load Work Processes More Efficient

This paper proposes an intelligent system that gives solution to a problem of management and work performance, administrative for the technology area of the Urban Electric Train System (SITEUR), addressing the problem, it is proposed to generate a tool to capture online assets, through an app, integrating predictive skills with the help of Machine Learning specifically in the area of electric route, the analysis of this research is oriented to the proposed solution for the area described below and generate an impact with scientific contribution to society.