Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76463
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dc.contributor.authorChawis Boonmeeen_US
dc.contributor.authorMikiharu Arimuraen_US
dc.contributor.authorChompoonoot Kasemseten_US
dc.date.accessioned2022-10-16T07:10:25Z-
dc.date.available2022-10-16T07:10:25Z-
dc.date.issued2021-09-01en_US
dc.identifier.issn23524847en_US
dc.identifier.other2-s2.0-85107736172en_US
dc.identifier.other10.1016/j.egyr.2021.05.077en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107736172&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76463-
dc.description.abstractGenerally, the activities of post-disaster waste management usually produce high carbon emissions, which can cause damage to the environment. However, the issue of carbon emissions in the post-disaster waste supply chain is neglected. Hence, this paper aims to propose a mixed-integer linear programming model to address the post-disaster waste processing supply chain network design problem with the consideration of a carbon tax policy. The proposed model is developed based on the concept of a mixed strategy of waste separation to reduce carbon emissions. Not only the carbon emission perspective but also the financial perspective for post-disaster waste supply chain management is determined in the objective function. The proposed model was verified and validated by employing a numerical example based on realistic data. Based on the numerical example, the results show that the implementation of a carbon tax policy with the mixed strategy for waste separation can reduce carbon emissions in the post-disaster waste supply chain efficiently.en_US
dc.subjectEnergyen_US
dc.titlePost-disaster waste management with carbon tax policy considerationen_US
dc.typeJournalen_US
article.title.sourcetitleEnergy Reportsen_US
article.volume7en_US
article.stream.affiliationsMuroran Institute of Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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