Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management - Part A: Methodology.
In this study, an inexact fuzzy chance-constrained two-stage mixed-integer linear programming (IFCTIP) approach is proposed for supporting long-term planning of waste-management systems under multiple uncertainties in the City of Regina, Canada. The method improves upon the existing inexact two-stag...
| Publicado en: | Journal of Environmental Management Vol. 91; no. 2; pp. 461 - 471 |
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| Autores principales: | , |
| Formato: | Artículo |
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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=506946403&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 506946403 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: 506946403 10.1016/j.jenvman.2009.09.014 ppf: 461 ppct: 10 formats: tig: atl: Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management - Part A: Methodology. aug: au: Guo, P. Huang, G. H. su: Decision support systems Waste management Environmental policy Canada sug: subj: Canada Decision support systems Waste management Environmental policy ab: In this study, an inexact fuzzy chance-constrained two-stage mixed-integer linear programming (IFCTIP) approach is proposed for supporting long-term planning of waste-management systems under multiple uncertainties in the City of Regina, Canada. The method improves upon the existing inexact two-stage programming and mixed-integer linear programming techniques by incorporating uncertainties expressed as multiple uncertainties of intervals and dual probability distributions within a general optimization framework. The developed method can provide an effective linkage between the predefined environmental policies and the associated economic implications. Four special characteristics of the proposed method make it unique compared with other optimization techniques that deal with uncertainties. Firstly, it provides a linkage to predefined policies that have to be respected when a modeling effort is undertaken; secondly, it is useful for tackling uncertainties presented as intervals, probabilities, fuzzy sets and their incorporation; thirdly, it facilitates dynamic analysis for decisions of facility-expansion planning and waste-flow allocation within a multi-facility, multi-period, multi-level, and multi-option context; fourthly, the penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised solid waste-generation rates are violated. In a companion paper, the developed method is applied to a real case for the long-term planning of waste management in the City of Regina, Canada. 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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