| In this study, three integrated solid waste management models will be designed and applied to the long-term (30 years) planning of the solid waste management for the Halifax Regional Municipality (HRM). These models will be specifically developed to deal with extensive uncertainties existing in the solid waste management system, and prearranged by incorporating the stochastic, fuzzy, and interval parameter concepts into a linear mathematical programming framework. The models include: Interval Parameter Mixed Integer Linear Programming (IPMILP), Interval Parameter Chance-Constrained Mixed Integer Linear Programming (IPCCMILP), and Interval Parameter Fuzzy-Stochastic Mixed Integer Linear Programming (IPFSMILP). They can be used for answering questions related to types, times and sites of the solid waste management activities, with the objective of achieving the minimized system costs over the planning horizon. The models can effectively reflect dynamic, interactive, and uncertain characteristics of the solid waste management system in HRM.;In models solution processes, 2-step solution algorithm will be developed through transforming original models into two deterministic submodels. First submodel is corresponded to minimize the lower bound of objective function, and second submodel is calculated to minimize the upper bound of objective function. (Abstract shortened by UMI.). |
