Sistema de gestión de horarios y aulas de la Facultad de Ingeniería en Sistemas, Electrónica e Industrial mediante algoritmos de optimización

Abstract

Manual planning of academic schedules and classroom allocation represents an operational challenge in educational institutions due to the number of restrictions to consider, such as teacher availability, classroom capacity, and institutional requirements. At the Faculty of Systems, Electronics and Industrial Engineering (FISEI) of the Technical University of Ambato, this process used to take between 7 and 10 working days, in addition to the use of multiple tools and a high administrative workload. With the aim of optimising the aforementioned process, a web application was developed that automates the creation of timetables, taking into account the real constraints of the academic environment. The solution was implemented using the RAD methodology, employing modern technologies such as Next.js, Nest.js and MySQL, together with an optimisation engine developed in Python, which integrates genetic algorithms and linear programming. The results obtained show a 66.67% reduction in planning time, a 27% improvement in the occupancy of academic spaces, and the elimination of allocation conflicts. The application allows schedules to be generated in minutes, restrictions to be managed, control sheets to be created, spaces to be reserved, and academic data to be viewed on a single platform. This system demonstrates how the use of optimisation algorithms can transform traditional processes, improving institutional efficiency, reducing human error, and facilitating more accurate, agile, and sustainable management. The proposal represents a scalable solution aligned with the needs of schedule planning in complex educational environments.