Elaboration of a long-term maintenance plan for building stock based on arbitration using a risk approach

Autor: Gérard Sauce, Franck Taillandier, Régis Bonetto
Přispěvatelé: Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Optimisation de la Conception et Ingénierie de l'Environnement (LOCIE), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Centre Scientifique et Technique du Bâtiment (CSTB)
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: European Journal of Environmental and Civil Engineering
European Journal of Environmental and Civil Engineering, Taylor & Francis, 2011, 13 (4), pp.383-397. ⟨10.1080/19648189.2009.9693118⟩
European Journal of Environmental and Civil Engineering, Taylor & Francis, 2009, 13 (4), pp.383-397
European Journal of Environmental and Civil Engineering, 2009, 13 (4), ⟨10.1080/19648189.2009.9693118⟩
ISSN: 1964-8189
2116-7214
Popis: International audience; The arbitration of a multi-year maintenance plan is one of the decision situations that a building facility manager can face. The complexity of the decision imposes the use of tools for decision support. A risk approach can be particularly efficient for solving this kind of problem. The challenge is to propose a risk-oriented method, adapted to building facility management. To do this, our method considers risk, but also the effectiveness and the cost of actions of risk mitigation. It proposes an ergonomic arbitration system, based on filters, following two complementary approaches: a selection of the fundamental actions and an optimization of the plan (viewed globally). The aim, for the decision-maker is to construct his own solution by testing multiple angles of vision in simulation logic. This article presents the principles of the method, illustrated by a real case conducted for a large company.
Databáze: OpenAIRE