The increasing generation of municipal solid waste (MSW) is a major problem particularly for large urban
areas with insufficient landfill capacities and inefficient waste management systems. Several options
associated to the supply chain for implementing a MSW management system are available, however
to determine the optimal solution several technical, economic, environmental and social aspects must
be considered. Therefore, this paper proposes a mathematical programming model for the optimal planning
of the supply chain associated to the MSW management system to maximize the economic benefit
while accounting for technical and environmental issues. The optimization model simultaneously selects
the processing technologies and their location, the distribution of wastes from cities as well as the distribution
of products to markets. The problem was formulated as a multi-objective mixed-integer linear
programing problem to maximize the profit of the supply chain and the amount of recycled wastes,
where the results are showed through Pareto curves that tradeoff economic and environmental aspects.
The proposed approach is applied to a case study for the west-central part of Mexico to consider the integration
of MSW from several cities to yield useful products. The results show that an integrated utilization
of MSW can provide economic, environmental and social benefits.