Automatización del control de propiedad, planta y equipo mediante inteligencia artificial en una terminal terrestre

Abstract

CONDITION FOR PUBLICATION OF PROJECT. project aims to design and implement an automated solution for the control of Property, Plant, and Equipment (PPE) assets at the Guayaquil Bus Terminal. This solution aims to improve traceability, reliability, and management efficiency, given the fragmentation and deficiencies of the current manual system. The hypothesis is that the lack of automation and comprehensive control increases operational risks, leading to a risk of duplicate records, low visibility into asset status, and difficulties in decision-making. For the development of the project, qualitative techniques such as interviews with managers and document analysis were applied, along with the application of the COSO ERM model and risk analysis to identify the main weaknesses in asset management. Technologies such as Microsoft 365 (Forms, Power Apps, Power Automate, SharePoint, Outlook, and Power BI) and predictive Machine Learning models were integrated into a digital platform that complied with the current regulatory framework. The results showed a reduction in asset registration time, automatic generation of preventive alerts based on useful life, and improved information consolidation to support decision-making. It is concluded that automation strengthens operational efficiency, control, and transparency over institutional PPE, contributing to the fulfillment of the strategic and regulatory objectives of the public sector at the Guayaquil Land Terminal. Keywords: Asset management, Property, Plant and Equipment, Automation, Digital platform, Machine learning, traceability, obsolescence, land terminal.