Optimisation par essaim particulaire de la planification des actions de maintenance d’un parc immobilier
hal.structure.identifier | Université Sciences et Technologies - Bordeaux 1 [UB] | |
dc.contributor.author | TAILLANDIER, Franck | |
hal.structure.identifier | Institut de Mécanique et d'Ingénierie de Bordeaux [I2M] | |
dc.contributor.author | NDIAYE, Amadou | |
hal.structure.identifier | Institut de Mécanique et d'Ingénierie de Bordeaux [I2M] | |
dc.contributor.author | FERNANDEZ, Christophe | |
dc.date.accessioned | 2021-05-14T09:34:26Z | |
dc.date.available | 2021-05-14T09:34:26Z | |
dc.date.issued | 2012 | |
dc.date.conference | 2012-06-06 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/76133 | |
dc.description.abstract | Maintenance is a central activity in real estate property management. It requires the development of action plans which is the operational support of the maintenance strategy. But these action plans can be complex to build and justify. To address this problem, we propose a method to model the real estate property and to build optimized action plans. The modelling approach uses a tree description of the real estate property and a multicriteria simulation logic. From this model, a Particle Swarm Optimization allows to establish an action plan with optimal relevance in relation to the requirements of the decision maker. An example related to the maintenance of a major French company real estate property illustrates the method process and to highlight its interest. | |
dc.description.abstractEn | Maintenance is a central activity in real estate property management. It requires the development of action plans which is the operational support of the maintenance strategy. But these action plans can be complex to build and justify. To address this problem, we propose a method to model the real estate property and to build optimized action plans. The modelling approach uses a tree description of the real estate property and a multicriteria simulation logic. From this model, a Particle Swarm Optimization allows to establish an action plan with optimal relevance in relation to the requirements of the decision maker. An example related to the maintenance of a major French company real estate property illustrates the method process and to highlight its interest. | |
dc.language.iso | fr | |
dc.subject.en | parc immobilier ; maintenance ; optimisation par essaim particulaire ; real estate property ; maintenance ; particle swarm optimization | |
dc.title | Optimisation par essaim particulaire de la planification des actions de maintenance d’un parc immobilier | |
dc.type | Communication dans un congrès avec actes | |
dc.subject.hal | Sciences du Vivant [q-bio]/Ingénierie des aliments | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Génie des procédés | |
bordeaux.page | 11 p. | |
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.country | FR | |
bordeaux.title.proceeding | Journées AUGC et IBPSA | |
bordeaux.conference.city | Chambéry | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-02804440 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-02804440v1 | |
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