| A solid waste decision support system (SWDSS) based on inexact mixed integer linear programming (IMILP), inexact chance constrained mixed integer linear programming (ICCMILP), and inexact fuzzy-stochastic mixed integer linear programming (IFSMILP) has been developed for the long-term planning of waste management activities in the City of Regina. The models can effectively reflect dynamic, interactive, and uncertain characteristics of the solid waste management system in the city. These models improved upon the existing inexact mixed integer linear and stochastic, or fuzzy, programming approaches, allowing the distribution information in the right-hand side constraints, uncertainties in the left-hand side constraints, and the coefficients in objective functions to be effectively incorporated within their optimization processes.;In their solution processes, the models are first transformed into deterministic submodels, corresponding to upper and lower bounds for the desired objective function values. The modeling approaches are applied to the planning of waste flow allocation and treatment/disposal facility expansion in the City of Regina. (Abstract shortened by UMI.). |
