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hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorQUEHEILLE, Eva
hal.structure.identifierRisques, Ecosystèmes, Vulnérabilité, Environnement, Résilience [RECOVER]
dc.contributor.authorTAILLANDIER, Franck
dc.contributor.authorSAIYOURI, Nadia
dc.date.accessioned2021-05-14T09:31:07Z
dc.date.available2021-05-14T09:31:07Z
dc.date.issued2019-02
dc.identifier.issn0926-5805
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/75860
dc.description.abstractEnWaste management is a growing concern in the construction sector and particularly within demolition works. In order to encourage better management, the European Union has set up a minimal 70% recovering rate - in mass - for building and public works by 2020. And to help deconstruction companies to reach this aim without extra cost or delays, a Multi-Objective Optimization algorithm is suggested. The algorithm will work out a deconstruction strategy - i.e. type of waste treatment, number of required workers… - and will take into account three objectives - cost, delay and recovering rate - with 17 decision variables. Use on a real deconstruction situation highlights the interest of the algorithm. Eight optimization algorithms were tested and the most efficient algorithm is Decomposition-Based Evolutionary Algorithm. It came up with better strategies than the company one. This work proves that environmental performance can be improved without increasing cost or delay.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enWaste management
dc.subject.enMultiobjective optimization
dc.subject.enEvolutionary algorithm
dc.subject.enDeconstruction
dc.subject.enRecovering
dc.title.enOptimization of strategy planning for building deconstruction
dc.typeArticle de revue
dc.identifier.doi10.1016/j.autcon.2018.11.007
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.journalAutomation in Construction
bordeaux.page236-247
bordeaux.volume98
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02936143
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02936143v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Automation%20in%20Construction&rft.date=2019-02&rft.volume=98&rft.spage=236-247&rft.epage=236-247&rft.eissn=0926-5805&rft.issn=0926-5805&rft.au=QUEHEILLE,%20Eva&TAILLANDIER,%20Franck&SAIYOURI,%20Nadia&rft.genre=article


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