A mixed integer linear programming approach for municipal solid waste management

A mixed integer linear programming (MILP) method was developed for a municipal solid waste (MSW) capacity planning problem. Based on the MILP solutions, a modelling for generating alternative (MGA) method was used for generating near-optimal alternative. Two alternatives which are different from the optimal solutions were selected and analyzed. A simulation technique was then used for incorporating stochastic parameters related to overall waste generation rate and its recyclable fraction into the modelling framework under smaller time increment conditions. It was indicated that the simulation results are useful for a more in-depth analysis of the relations between the variation of the stochastic parameters and decision schemes generated from the optimization model and between the stochastic parameters as well as for further comparison and evaluation of the generated decision alternatives. Thus, the incorporation of the simulation techniques within the optimization process provides a sound approach for more effective MSW management and planning.