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	An inexact two-stage mixed integer linear programming model for waste management under uncertainty
	Maqsood I. ; Huang G. H. ; Zeng G. M.
	2004
关键词	decision-making integer programming management solid waste stochastic programming uncertainty decomposition systems
英文摘要	This paper introduces a hybrid optimization approach, an inexact two-stage mixed integer linear programming (ITMILP) model, for the planning of regional solid waste management systems under uncertainty. The model improves upon the existing mixed integer, two-stage stochastic and interval-parameter programming approaches by allowing uncertainties presented as random distributions and discrete intervals, as well as policies expressed as allowable waste-loading targets to be effectively incorporated within a general optimization framework. In the modeling formulation, penalties are imposed when the policies are violated. In its solutions algorithm, the ITMILP model is transformed into two deterministic submodels, which were solved sequentially. Application of the developed methodology to the planning of a waste management system indicates that reasonable solutions for the binary and continuous decision variables can be generated through this approach. Considerable information was generated regarding decisions of facility expansion within a multi-period, multi-scale and multi-waste-level context; and optimal waste flow allocation patterns were achieved within the waste management system. The ITMILP model was then employed to generate a number of decision alternatives under various policy conditions, allowing for more in-depth analyses of tradeoffs between environmental and economic objectives.
出处	Civil Engineering and Environmental Systems
卷	21
期	3
页	187-206
收录类别	SCI
语种	英语
ISSN号	1028-6608
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/23282]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Maqsood I.,Huang G. H.,Zeng G. M.. An inexact two-stage mixed integer linear programming model for waste management under uncertainty. 2004.

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