Otimizando A Alocacc~ao De Salas De Aula Com Foco Na Acessibilidade Para Pessoas Com Deficiencia

This paper addresses the challenge of classroom allocation in higher education institutions, with an explicit emphasis on accessibility for Persons with Disabilities (PwDs). Employing a case study of a university's computer science department, the paper proposes an Integer Linear Programming (ILP)-based optimization model, which is solved using the Gurobi solver. The objective is to minimize the number of classrooms used by prioritizing the assignment of PwD students to ground-floor classrooms to reduce accessibility barriers. The model is calibrated with a weighting parameter, alpha, that allows for a balance between spatial efficiency and promoting accessibility. Experimental results indicate that adjusting alpha can achieve a balance point that significantly improves current manual allocation practices, reducing the number of classrooms required and accessibility penalties. The findings suggest that optimization methods can improve operational efficiency in academic institutions while promoting a more inclusive environment for all students. Future work may expand the application of the model to other departments and contexts and integrate additional criteria to develop a more holistic approach.