An interval-based regret-analysis method for identifying long-term municipal solid waste management policy under uncertainty
In this study, an interval-based regret-analysis (IBRA) model is developed for supporting long-term planning of municipal solid waste (MSW) management activities in the City of Changchun, the capital of Jilin Province, China. The developed IBRA model incorporates approaches of interval–parameter pro...
| Publicado en: | Journal of Environmental Management Vol. 92; no. 6; pp. 1484 - 1495 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Jun2011
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| Materias: | |
| 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=59320326&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 59320326 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: Jun2011 vid: 92 iid: 6 pid: 735 pub: Academic Press Inc. artinfo: ui: 59320326 10.1016/j.jenvman.2010.12.006 ppf: 1484 ppct: 11 formats: tig: atl: An interval-based regret-analysis method for identifying long-term municipal solid waste management policy under uncertainty aug: au: Cui, L. Chen, L.R. Li, Y.P. Huang, G.H. Li, W. Xie, Y.L. su: Uncertainty Economic impact Decision making Waste management research Mathematical models Industrial wastes Environmental protection planning Economic impact analysis sug: subj: Uncertainty Economic impact Decision making Administration of Air and Water Resource and Solid Waste Management Programs Waste treatment and disposal Hazardous Waste Treatment and Disposal Other Waste Collection Solid Waste Landfill Waste collection Waste management research Mathematical models Industrial wastes Environmental protection planning Economic impact analysis keyword: Environment Interval analysis Minimax regret Optimization Planning Waste management Environment Interval analysis Minimax regret Optimization Planning Waste management ab: In this study, an interval-based regret-analysis (IBRA) model is developed for supporting long-term planning of municipal solid waste (MSW) management activities in the City of Changchun, the capital of Jilin Province, China. The developed IBRA model incorporates approaches of interval–parameter programming (IPP) and minimax–regret (MMR) analysis within an integer programming framework, such that uncertainties expressed as both interval values and random variables can be reflected. The IBRA can account for economic consequences under all possible scenarios associated with different system costs and risk levels without making assumptions on probabilistic distributions for random variables. A regret matrix with interval elements is generated based on a matrix of interval system costs, such that desired decision alternatives can be identified according to the interval minimax regret (IMMR) criterion. The results indicate that reasonable solutions have been generated. They can help decision makers identify the desired alternatives regarding long-term MSW management with a compromise between minimized system cost and minimized system-failure risk. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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