Inexact fuzzy-stochastic mixed integer programming approach for long-term planning of waste management–––Part B: Case study

In this study, a solid waste decision-support system was developed for the long-term planning of waste management in the City of Regina, Canada. Interactions among various system components, objectives, and constraints will be analyzed. Issues concerning planning for cost-effective diversion and pro...

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Bibliographic Details
Published in:	Journal of environmental management Vol. 91; no. 2; pp. 441 - 460
Main Authors:	Guo, P., Huang, G.H.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.11.2009 Elsevier Academic Press Ltd
Subjects:	Allocation Animal, plant and microbial ecology Applied ecology Biological and medical sciences Canada Case management Case studies Cities City managers Conservation, protection and management of environment and wildlife Constraints Cost analysis Costs Decision makers Decision making Decision theory Decisions Diversion Environment Fundamental and applied biological sciences. Psychology Fuzzy Logic General aspects Integer programming Landfill Landfills Long term Long-term planning Management Multiple uncertainties Organizational Case Studies Planning Planning methods Planning Techniques Refuse Disposal Saskatchewan Scenario analysis Solid waste Solid waste management Solid wastes Stochastic models Stochastic Processes Strategic planning Support networks The City of Regina Waste disposal Waste disposal sites Waste management Saskatchewan Regina Saskatchewan Canada Canada Scenario analysis Decision making Solid waste Environment The City of Regina Multiple uncertainties Diversion Case study Waste management Planning Environmental management Long term
ISSN:	0301-4797, 1095-8630, 1095-8630
Online Access:	Get full text
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