Hierarchical optimisation model for waste management forecasting in EU

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dc.contributor.authorSmejkalová, Veronikacs
dc.contributor.authorŠomplák, Radovancs
dc.contributor.authorPluskal, Jaroslavcs
dc.contributor.authorRybová, Kristýnacs
dc.coverage.issue12cs
dc.coverage.volume23cs
dc.date.accessioned2024-03-11T16:45:52Z
dc.date.available2024-03-11T16:45:52Z
dc.date.issued2022-12-01cs
dc.description.abstractThe level of waste management varies significantly from one EU state to another and therefore they have different starting position regarding reaching defined EU targets. The forecast of waste production and treatment is essential information for the expected future EU targets fulfilment. If waste treatment does not meet the targets under the current conditions, it is necessary to change waste management strategies. This contribution presents a universal approach for forecasting waste production and treatment using optimisation models. The approach is based on the trend analysis with the subsequent data reconciliation (quadratic programming). The presented methodology also provides recommendations to include the quality of trend estimate and significance of territory in form of weights in objective function. The developed approach also allows to put into context different methods of waste handling and production. The variability of forecast is described by prediction and confidence intervals. Within the EU forecast, the expected demographic development is taken into account. The results show that most states will not meet EU targets with current trend of waste management in time. Presented methodology is developed at a general level and it is a suitable basis for strategic planning at the national and transnational level.en
dc.formattextcs
dc.format.extent2143-2175cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationOPTIMIZATION AND ENGINEERING. 2022, vol. 23, issue 12, p. 2143-2175.en
dc.identifier.doi10.1007/s11081-022-09735-2cs
dc.identifier.issn1389-4420cs
dc.identifier.orcid0000-0002-6763-2059cs
dc.identifier.orcid0000-0002-5714-4537cs
dc.identifier.orcid0000-0002-2658-7490cs
dc.identifier.other178742cs
dc.identifier.researcheridAAC-8839-2019cs
dc.identifier.researcheridQ-9462-2017cs
dc.identifier.scopus57194697108cs
dc.identifier.scopus55515602000cs
dc.identifier.scopus57212244833cs
dc.identifier.urihttps://hdl.handle.net/11012/245273
dc.language.isoencs
dc.publisherSPRINGERcs
dc.relation.ispartofOPTIMIZATION AND ENGINEERINGcs
dc.relation.urihttps://link.springer.com/article/10.1007/s11081-022-09735-2cs
dc.rights(C) SPRINGERcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1389-4420/cs
dc.subjectWaste forecastingen
dc.subjectCircular economy packageen
dc.subjectQuadratic programmingen
dc.subjectTrend modellingen
dc.subjectData reconciliationen
dc.subjectConfidence intervalsen
dc.titleHierarchical optimisation model for waste management forecasting in EUen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen
sync.item.dbidVAV-178742en
sync.item.dbtypeVAVen
sync.item.insts2024.03.11 17:45:52en
sync.item.modts2024.03.11 17:13:15en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav procesního inženýrstvícs
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