Proportional hazard model; F system; Preventive maintenance
Issue Date
2008-05
Publisher
한국산업경영시스템학회
Citation
한국산업경영시스템학회 2008년 춘계학술대회 논문집, Page. 28~34
Abstract
This paper is concerned with developing realistic models to determine preventive maintenance
(PM) schedules for complex systems when data have been collected on failure times and PM
interventions along with down times and man-hours expended on each. We propose the use
of a proportional hazard model and consider the addition of Bayesian methods to incorporate
prior knowledge about regression coefficients. The paper discusses further aspects of this
approach, which include extending the model to cover time-dependent explanatory variables,
and presents an application of the proportional hazard model to actual reliability data from
major industrial plants.