Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A stochastic maintenance management model with recovery factor

A stochastic maintenance management model with recovery factor In this study, recovery factor was considered in the maintenance management model that integrates the quantitative method and qualitative concept. The model is developed to solve the practical parameters in a maintenance management task, such as the number of maintenance personnel and maintenance cycle time. The stochastic model is applied to construct the relationships among maintenance cycle, maintenance personnel allocation, human recovery factor, and a system's tolerance time. In addition, a simulated experiment was conducted to find out the supplementary parameters such as individual latent human error, individual critical human error, recovery rate, and a system's tolerance time. Since system availability is the criterion of this maintenance management model, the final solution of this model provides a system availability reference table of the combination of the number of maintenance personnel and the maintenance cycle time. This system availability reference table is a practical tool for maintenance managers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality in Maintenance Engineering Emerald Publishing

A stochastic maintenance management model with recovery factor

Loading next page...
 
/lp/emerald-publishing/a-stochastic-maintenance-management-model-with-recovery-factor-G8TsI5LQGI

References (26)

Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
1355-2511
DOI
10.1108/13552510410539222
Publisher site
See Article on Publisher Site

Abstract

In this study, recovery factor was considered in the maintenance management model that integrates the quantitative method and qualitative concept. The model is developed to solve the practical parameters in a maintenance management task, such as the number of maintenance personnel and maintenance cycle time. The stochastic model is applied to construct the relationships among maintenance cycle, maintenance personnel allocation, human recovery factor, and a system's tolerance time. In addition, a simulated experiment was conducted to find out the supplementary parameters such as individual latent human error, individual critical human error, recovery rate, and a system's tolerance time. Since system availability is the criterion of this maintenance management model, the final solution of this model provides a system availability reference table of the combination of the number of maintenance personnel and the maintenance cycle time. This system availability reference table is a practical tool for maintenance managers.

Journal

Journal of Quality in Maintenance EngineeringEmerald Publishing

Published: Jun 1, 2004

Keywords: Maintenance; Human failure; System monitoring

There are no references for this article.