DE SAPORTA, Benoîte; DUFOUR, François; ZHANG, Huilong

doi:10.3850/981-973-0000-00-0

Metadatos

Mostrar el registro completo del ítem

Licencia de uso del documento

DE SAPORTA, Benoîte
Institut Montpelliérain Alexander Grothendieck [IMAG]

DUFOUR, François
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

ZHANG, Huilong
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

Idioma

Communication dans un congrès

Este ítem está publicado en

ESREL 2019 - 29th European Safety and Reliability Conference, 2019-09-22, Hanovre.

Resumen en inglés

This paper concerns the maintenance optimization of a multistate system subject to random failure of its components occurring with different distributions with or without aging. A dynamic maintenance policy is a sequence of condition-based intervention dates and actions. A policy generates a cost that is composed of an unavailability cost when the equipment is down or in the workshop as well as repair or replacement costs for the components. The aim of this work is to compute an approximation of the minimal mean cost over all admissible policies, and propose a policy that performs as close as possible to this minimum.< Leer menos

Palabras clave en inglés

Condition based maintenance

Monte Carlo simulations

Numerical method

Hybrid process

Stochastic optimal control

Dynamic programming

Metadatos

Compartir este ítem

Licencia de uso del documento

Dynamic optimization of maintenance policies for multistate system

Idioma

Este ítem está publicado en

Resumen en inglés

Palabras clave en inglés

URI

DOI

Orígen

Centros de investigación