Abstract
In this study, an integrated solid waste management system based on inexact fuzzy-stochastic mixed integer linear programming (IFSMILP) has been applied to the long-term planning of waste management activities in the City of Regina. The model can effectively reflect dynamic, interactive, and uncertain characteristics of the solid waste management system in the city. The results have provided useful answers for the following questions: “What waste reduction goals are desired if the existing landfill's life is prolonged for 15 years?”, “What should be the waste flow allocation pattern in the city?”, “What should be done if the waste generation rate increases rapidly, while the relevant handling capacity is limited?”, and “What level of reliability will we have given the suggested waste management plan?”
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Huang, G., Sae-lim, N., Chen, Z. et al. Long-Term Planning of Waste Management System in the City of Regina – an Integrated Inexact Optimization Approach. Environmental Modeling & Assessment 6, 285–296 (2001). https://doi.org/10.1023/A:1013346202934
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DOI: https://doi.org/10.1023/A:1013346202934