Municipal solid waste management is a major challenge for nowadays urban societies, because
it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems. This work focuses on the problem of locating waste bins in an urban
area, which is considered to have a strong influence in the overall efficiency of the reverse logistic chain. This article contributes with an exact multiobjective approach to solve the waste bin
location in which the optimization criteria that are considered are: the accessibility to the system
(as quality of service measure), the investment cost, and the required frequency of waste removal
from the bins (as a proxy of the posterior routing costs). In this approach, different methods to
obtain the objectives ideal and nadir values over the Pareto front are proposed and compared.
Then, a family of heuristic methods based on the PageRank algorithm is proposed which aims
to optimize the accessibility to the system, the amount of collected waste and the installation
cost. The experimental evaluation was performed on real-world scenarios of the cities of Montevideo, Uruguay, and Bah´ıa Blanca, Argentina. The obtained results show the competitiveness of
the proposed approaches for constructing a set of candidate solutions that considers the different
trade-offs between the optimization criteria.
