Optimizing plastics recycling networks

dc.contributor.authorAviso, Kathleen B.cs
dc.contributor.authorBaquillas, Jonna C.cs
dc.contributor.authorChiu, Anthony S. F.cs
dc.contributor.authorJiang, Pengcs
dc.contributor.authorFan, Yee Vancs
dc.contributor.authorVarbanov, Petar Sabevcs
dc.contributor.authorKlemeš, Jiřícs
dc.contributor.authorTan, Raymond Rcs
dc.coverage.issue1cs
dc.coverage.volume14cs
dc.date.accessioned2024-02-15T09:45:19Z
dc.date.available2024-02-15T09:45:19Z
dc.date.issued2023-06-14cs
dc.description.abstractPlastic pollution is a serious sustainability issue facing the global community. Fragments of macroplastics and microplastics pollute terrestrial and aquatic ecosystems, while nanoplastics can also degrade air quality. The recent COVID-19 pandemic also exacerbated the problem. Large-scale commercial use of plastics recycling technologies is hindered by various socio-economic barriers. In particular, cross-contamination of mixed plastic streams is prevalent due to imperfect waste segregation. The concept of Plastics Recycling Networks is intro-duced to facilitate planning of reverse supply chains using optimization models. In this work, basic Linear Programming and Mixed-Integer Linear Programming models are developed for matching sources of waste plastic with plastic recycling plants within Plastics Recycling Networks. These models allocate streams while considering the ability of recycling plants to tolerate contaminants. Two illustrative case studies are analyzed to demonstrate the effectiveness of the models, and policy implications for mitigation of plastic pollution are dis-cussed. These models enable planning of networks with some tolerance for contaminants in plastic waste, and can be the basis for developing new variants to handle additional real world aspects.en
dc.formattextcs
dc.format.extent8cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationCleaner Engineering and Technology. 2023, vol. 14, issue 1, 8 p.en
dc.identifier.doi10.1016/j.clet.2023.100632cs
dc.identifier.issn2666-7908cs
dc.identifier.orcid0000-0001-5514-0260cs
dc.identifier.orcid0000-0001-5261-1645cs
dc.identifier.orcid0000-0002-7450-7029cs
dc.identifier.other187291cs
dc.identifier.researcheridH-1088-2019cs
dc.identifier.researcheridB-8954-2009cs
dc.identifier.researcheridB-7291-2009cs
dc.identifier.scopus57189519052cs
dc.identifier.scopus6603469420cs
dc.identifier.scopus56903012000cs
dc.identifier.urihttps://hdl.handle.net/11012/244968
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofCleaner Engineering and Technologycs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S266679082300037X?via%3Dihubcs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2666-7908/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectCircular economyen
dc.subjectMicroplasticsen
dc.subjectPlastic wasteen
dc.subjectProcess integrationen
dc.subjectReverse logisticsen
dc.titleOptimizing plastics recycling networksen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-187291en
sync.item.dbtypeVAVen
sync.item.insts2024.02.15 10:45:19en
sync.item.modts2024.02.15 10:13:20en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Laboratoř integrace procesůcs
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