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dc.contributor.authorYu, Hao
dc.contributor.authorSolvang, Wei Deng
dc.date.accessioned2017-01-31T13:58:38Z
dc.date.available2017-01-31T13:58:38Z
dc.date.issued2016-12-17
dc.description.abstractToday, the increased public concern for sustainable development and more stringent environmental regulations have become the most important driving forces for value recovery from end-of-life and end-of use products through reverse logistics. Waste electrical and electronic equipment (WEEE) contains both valuable components that need to be recycled and hazardous substances that have to be properly treated or disposed, so the design of reverse logistics system for sustainable treatment of WEEE is of paramount importance. This paper presents a stochastic mixed integer programming model for designing and planning a generic multi-source, multi-echelon, capacitated and sustainable reverse logistics network of WEEE under uncertainties. The model takes into account of both economic efficiency and environmental impacts in decision-making, and the environmental impacts are evaluated by carbon emission. A multi-criteria two-stage scenario-based solution method is employed and further developed in this study for generating the optimal solution of the stochastic optimization problem The proposed model and solution method are validated through a numerical experiment and sensitivity analyses presented latter in this paper, and analysis of the result is also given for providing a deep managerial insight of the application of the proposed stochastic optimization model.en_US
dc.descriptionSource at <a href=https://doi.org/10.3390/su8121331>https://doi.org/10.3390/su8121331</a>. This is an open access article distributed under the terms of the <a href="https://creativecommons.org/licenses/by/4.0/"> Creative Commons Attribution License</a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.identifier.citationYu, H. & Solvang, W.D. (2016). A stochastic programming approach with improved multi-criteria scenario-based solution method for sustainable reverse logistics design of Waste electrical and electronic equipment (WEEE). <i>Sustainability, 8</i>(12), 1331. https://doi.org/10.3390/su8121331en_US
dc.identifier.issn2071-1050
dc.identifier.otherFRIDAID 1411937
dc.identifier.other10.3390/su8121331
dc.identifier.urihttp://hdl.handle.net/10037/10266
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.ispartofYu, H. (2019). Optimization models and methods for sustainable reverse logistics network design. (Doctoral thesis). <a href=http://hdl.handle.net/123456789/15423>http://hdl.handle.net/123456789/15423</a>
dc.relation.journalSustainability
dc.relation.urihttp://www.mdpi.com/2071-1050/8/12/1331
dc.rights.accessRightsopenAccessen_US
dc.subjectWEEEen_US
dc.subjectreverse logisticsen_US
dc.subjectstochastic optimizationen_US
dc.subjectmixed integer programmingen_US
dc.subjectscenario-based solutionen_US
dc.subjectsustainable developmenten_US
dc.subjectcarbon emissionsen_US
dc.subjectVDP::Teknologi: 500::Miljøteknologi: 610en_US
dc.subjectVDP::Technology: 500::Environmental engineering: 610en_US
dc.titleA stochastic programming approach with improved multi-criteria scenario-based solution method for sustainable reverse logistics design of Waste electrical and electronic equipment (WEEE)en_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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