ICQSWM: An inexact chance-constrained quadratic solid waste management model

An inexact chance-constrained quadratic solid waste management (ICQSWM) model is developed for planning municipal solid waste (MSW) management systems. The ICQSWM improves upon existing methods of inexact two-stage chance-constrained linear programming (ITCLP) and interval quadratic programming (IQP...

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Veröffentlicht in:Resources, conservation and recycling Jg. 54; H. 10; S. 641 - 657
Hauptverfasser: Sun, Y., Huang, G.H., Li, Y.P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier B.V 01.08.2010
Elsevier
Schlagworte:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chance-constrained programming
Chemical engineering
Economics
Environment
Exact sciences and technology
General treatment and storage processes
Inexact
Intervals
Management systems
Mathematical models
Optimization
Policies
Pollution
Quadratic
Quadratic programming
Solid waste management
Uncertainty
Urban and domestic wastes
Wastes
Chance-constrained programming
Uncertainty
Inexact
Environment
Solid waste management
Quadratic
Optimization
Urban waste
Linear programming
Probability distribution
Quadratic programming
Modeling
Waste management
Solid waste
Planning
Reliability
Mathematical programming
ISSN:0921-3449, 1879-0658
Online-Zugang:Volltext
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Zusammenfassung:An inexact chance-constrained quadratic solid waste management (ICQSWM) model is developed for planning municipal solid waste (MSW) management systems. The ICQSWM improves upon existing methods of inexact two-stage chance-constrained linear programming (ITCLP) and interval quadratic programming (IQP). It can tackle uncertainties presented as both probability distributions and discrete intervals; moreover, it can be used for analyzing various policy scenarios which are associated with different levels of economic penalties when the promised targets are violated. It can also reflect the effects of economies of scale under uncertainty. The developed method is applied to a case study of waste-flow-allocation planning within a MSW management system. The results indicate that the ICQSWM model not only provides an effective tool for reflecting system cost variations but also generates decision alternatives; the solutions obtained can thus help managers to identify desired policies under various environmental and system-reliability constraints and economic objectives.
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ISSN:0921-3449
1879-0658
DOI:10.1016/j.resconrec.2009.11.004