A Fuzzy Location-Allocation Problem for Sustainable Design of a Municipal Solid Waste Management Network

The municipal concrete waste production has grown recently due to the urban population's considerable increment. With the advances in technology, SWM (solid waste management) has been a significant challenge for many countries worldwide. Therefore, in this paper, a multi-objective mixed-integer linear programming model with three objectives, maximizing job opportunities and minimizing costs and carbon emissions, is extended under uncertainty. A fuzzy goal programming approach is applied to deal with uncertain parameters and solve the proposed multi-objective model. A case study is employed for waste management in Tehran's fifteen urban areas to demonstrate the proposed model's efficiency. Ultimately, the model is solved using the CPLEX solver of GAMS software, and a sensitivity analysis is performed to assess the results.