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dc.contributor.authorYu, Hao
dc.contributor.authorSolvang, Wei Deng
dc.date.accessioned2017-01-31T14:02:14Z
dc.date.available2017-01-31T14:02:14Z
dc.date.issued2016-05-31
dc.description.abstractHazardous waste location-routing problems are of importance due to the potential risk for nearby residents and the environment. In this paper, an improved mathematical formulation is developed based upon a multi-objective mixed integer programming approach. The model aims at assisting decision makers in selecting locations for different facilities including treatment plants, recycling plants and disposal sites, providing appropriate technologies for hazardous waste treatment, and routing transportation. In the model, two critical factors are taken into account: system operating costs and risk imposed on local residents, and a compensation factor is introduced to the risk objective function in order to account for the fact that the risk level imposed by one type of hazardous waste or treatment technology may significantly vary from that of other types. Besides, the policy instruments for promoting waste recycling are considered, and their influence on the costs and risk of hazardous waste management is also discussed. The model is coded and calculated in Lingo optimization solver, and the augmented ε-constraint method is employed to generate the Pareto optimal curve of the multi-objective optimization problem. The trade-off between different objectives is illustrated in the numerical experiment.en_US
dc.descriptionSource at <a href=https://doi.org/10.3390/ijerph13060548>https://doi.org/10.3390/ijerph13060548</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). An improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problem. <i>International Journal of Environmental Research and Public Health, 13</i>(6), 548. https://doi.org/10.3390/ijerph13060548en_US
dc.identifier.cristinIDFRIDAID 1357722
dc.identifier.doi10.3390/ijerph13060548
dc.identifier.issn1660-4601
dc.identifier.urihttps://hdl.handle.net/10037/10267
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=https://hdl.handle.net/10037/14737>https://hdl.handle.net/10037/14737</a>
dc.relation.journalInternational Journal of Environmental Research and Public Health
dc.relation.urihttp://www.mdpi.com/1660-4601/13/6/548
dc.rights.accessRightsopenAccessen_US
dc.subjecthazardous waste managementen_US
dc.subjectlocation-routing problemen_US
dc.subjectmixed integer programmingen_US
dc.subjectmulti-objective programmingen_US
dc.subjectaugmented ε-constraint methoden_US
dc.subjectVDP::Teknologi: 500::Miljøteknologi: 610en_US
dc.subjectVDP::Technology: 500::Environmental engineering: 610en_US
dc.titleAn improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problemen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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