Optimization of strategy planning for building deconstruction
| hal.structure.identifier | Institut de Mécanique et d'Ingénierie [I2M] | |
| dc.contributor.author | QUEHEILLE, Eva | |
| hal.structure.identifier | Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience [RECOVER] | |
| dc.contributor.author | TAILLANDIER, Franck | |
| dc.contributor.author | SAIYOURI, Nadia | |
| dc.date.accessioned | 2021-05-14T09:31:07Z | |
| dc.date.available | 2021-05-14T09:31:07Z | |
| dc.date.issued | 2019-02 | |
| dc.identifier.issn | 0926-5805 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/75860 | |
| dc.description.abstractEn | Waste 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.iso | en | |
| dc.publisher | Elsevier | |
| dc.rights.uri | http://creativecommons.org/licenses/by/ | |
| dc.subject.en | Waste management | |
| dc.subject.en | Multiobjective optimization | |
| dc.subject.en | Evolutionary algorithm | |
| dc.subject.en | Deconstruction | |
| dc.subject.en | Recovering | |
| dc.title.en | Optimization of strategy planning for building deconstruction | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.autcon.2018.11.007 | |
| dc.subject.hal | Sciences de l'ingénieur [physics] | |
| bordeaux.journal | Automation in Construction | |
| bordeaux.page | 236-247 | |
| bordeaux.volume | 98 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02936143 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02936143v1 | |
| bordeaux.COinS | ctx_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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