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...
| Publicado en: | Journal of Environmental Management Vol. 91; no. 2; pp. 441 - 461 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
November/December 2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=506946408&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 506946408 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: November/December 2009 vid: 91 iid: 2 pid: 735 pub: Academic Press Inc. artinfo: ui: 506946408 10.1016/j.jenvman.2009.09.015 ppf: 441 ppct: 20 formats: tig: atl: Inexact fuzzy-stochastic mixed integer programming approach for long-term planning of waste management - Part B: Case study. aug: au: Guo, P. Huang, G. H. su: Waste management Environmental policy Canada sug: subj: Canada Waste management Environmental policy ab: 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 prolongation of the landfill will be addressed. Decisions of system-capacity expansion and waste allocation within a multi-facility, multi-option, and multi-period context will be obtained. The obtained results would provide useful information and decision-support for the City's solid waste management and planning. In the application, four scenarios are considered. Through the above scenario analyses under different waste-management policies, useful decision support for the City's solid waste managers and decision makers was generated. Analyses for the effects of varied policies (for allowable waste flows to different facilities) under 35 and 50% diversion goals were also undertaken. Tradeoffs among system cost and constraint-violation risk were analyzed. Generally, a policy with lower allowable waste-flow levels corresponded to a lower system cost under advantageous conditions but, at the same time, a higher penalty when such allowances were violated. A policy with higher allowable flow levels corresponded to a higher cost under disadvantageous conditions. The modeling results were useful for (i) scheduling adequate time and capacity for long-term planning of the facility development and/or expansion in the city's waste management system, (ii) adjusting of the existing waste flow allocation patterns to satisfy the city's diversion goal, and (iii) generating of desired policies for managing the city's waste generation, collection and disposal. Copyright (c) 2009 Elsevier Ltd. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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