Optimización de la gestión técnica del relleno sanitario del cantón Pasaje mediante asistentes virtuales en un entorno volátil, incierto, complejo y ambiguo

Abstract

CONDITION FOR PUBLICATION OF PROJECT. The present project aims to optimize the technical management of the Pasaje landfill through the use of a virtual assistant in a Volatile, Uncertain, Complex, and Ambiguous (VUCA) environment, with the objective of improving operational planning and strategic decision-making. To achieve this, historical data from the 2019-2024 period were collected and analyzed, implementing artificial intelligence to normalize and structure the information. A predictive model in Python in Google Colab was developed, achieving a coefficient of determination (R²) of 0.77, which allowed for the projection of waste generation until 2034, providing a quantitative basis for planning final disposal capacity. Additionally, a dynamic dashboard in Power BI was designed as a data management prototype, facilitating the generation of agile technical reports and real-time visualization of the landfill’s operational indicators. The results show that the integration of a virtual assistant with predictive models and interactive tools significantly improves efficiency in solid waste management. It is concluded that the use of artificial intelligence and automated data analysis optimizes strategic planning, allows for the anticipation of critical scenarios, and enhances the sustainability of the final disposal system. It is recommended to continue exploring advanced predictive modeling techniques and strengthen technological infrastructure to ensure the operational efficiency of the Pasaje landfill. Keywords: Waste management, virtual assistants, VUCA, predictive models, Power BI.