Dynamic effect of perfect preventive maintenance on system reliability and cost using HiP-HOPS

Nggada, Shawulu H.; Parker, David J.; Papadopoulos, Yiannis I.

Abstract

The occurrence of failure in a safety critical engineering system can be reduced through the use of preventive maintenance (PM). Each time a component of the system is maintained its effective age is reduced; the extent of this age reduction depends on the effectiveness of the PM known as the improvement factor. While some components may need to be maintained every PM interval T, typically most components will possess a PM interval which is a multiple of T (aT), where a is the coefficient of maintenance interval (CoMI). Where PM completely rejuvenates the component being maintained, it is termed perfect preventive maintenance (PPM). This paper investigates the effect of PPM on system reliability, unavailability and cost. Firstly, a model of the effect of PPM actions on the reliability, unavailability, and cost of components, calculated using a Weibull distribution, is established. Secondly, HiP-HOPS, a semi-automatic method for analyzing system dependability (i.e. safety, reliability and availability analysis), is extended to consider PPM of components in a system. Finally, an evolutionary optimization algorithm, using HiP-HOPS, is applied to PM scheduling. Copyright © 2010 IFAC.

Citation

Nggada, S. H., Parker, D. J., & Papadopoulos, Y. I. (2010). Dynamic effect of perfect preventive maintenance on system reliability and cost using HiP-HOPS. IFAC Proceedings Volumes/ International Federation of Automatic Control, 43(17), 204-209. https://doi.org/10.3182/20100908-3-pt-3007.00039

• Journal Article Type: Conference Paper
• Online Publication Date: Apr 21, 2016
• Publication Date: 2010
• Journal: IFAC Proceedings Volumes (IFAC-PapersOnline)
• Print ISSN: 1474-6670
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 43
• Issue: 17
• Pages: 204-209
• ISBN: 9783902661814
• DOI: https://doi.org/10.3182/20100908-3-pt-3007.00039
• Keywords: Preventive maintenance; Reliability; Availability; Multiobjective optimization; Genetic algorithms
• Public URL: https://hull-repository.worktribe.com/output/405579
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1474667016309016#!