A chance constrained fuzzy programming approach to design of municipal waste collection network considering environmental issues

The fast growth of urbanization and population has led to the increase of waste in cities and caused significant problems in municipal solid waste management systems. This study investigates the network design problem arising from the municipal solid waste management. For this purpose, a multi-objective mixed integer model is proposed in order to minimize total costs and environmental damages. Due tochanges in business environment the uncertainty existed in the research problem, in this paper the chance constrained fuzzy programming approach applied to cope with uncertainties in parameter of the proposed model. Then the proposed multi-objective model solves as single-objective model using LP-metric method. Finally, sensitivity analysis done in parameters of the first objective function on demandof recycled materials, demand of energy and total amount of waste and results are reported. results showed with increasing amount of parameters the value of first objective function increased.

Keywords:

Municipal solid waste , Chance constrained fuzzy programming , Multi-objective optimization , LP-Metric