This study aims to define a municipal Solid Waste Management (SWM) strategy using Multi-objective Optimization Problem
(MOP) and ELECTRE method. Four waste treatment technologies were considered: recycling, composting, incineration and
landfilling. Firstly, a Multi-objective Linear Programing (MOLP) model was developed. The solutions obtained from this model
were ranked using the ELECTRE method. It was considered as case study a hypothetical city of 1,000,000 of inhabitants, presenting
the average Brazilian waste per capita generation and composition. The results indicate 21 optimal solutions. The top ranked solution
presents a combination of all the technologies considered. This solution presents the following waste allocation: 51.4% composted,
18.4% recycled, 16.7% landfilled and 13.5% incinerated. A sensitivity analysis was carried out by varying waste composition and
criterion weights. The waste composition sensitivity was evaluated by substituting the average waste characteristics of Brazil to
Europe, Japan and USA ones. The sensitivity analysis indicates that the ranking of solutions was very sensitive to waste composition
changes and low sensitive to the variation of criterion preferences. Thus, although the MOP model presented is a simple approach
for SWM when compared with other literature models, it shows to be efficient. The proposed model is able to decide between the
trades-off related with the material allocation.