Keywords: waste management planning, modelling–to–generate alternatives, decision making, uncertainty, simulation, optimisation, strategy, grey programming, modelling, landfill planning, municipal solid waste, MSW, penalty functions
Waste management facility expansion planning using simulation–optimisation with grey programming and penalty functions
Simulation–Optimisation (SO) techniques, which incorporate inherent system uncertainties using probability distributions, have been used for optimal waste management planning. While SO can be applied to numerous stochastic problems, its solution times vary considerably from one implementation to the next. In this study, SO has been concurrently combined with both penalty functions and a Grey Programming (GP) technique in order to efficiently generate sets of numerous, good policy alternatives an approach referred to as modelling–to–generate–alternatives. The efficacy of this approach is illustrated on a planning problem for expanding a landfill and municipal waste management facilities.