This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Improvement of Aircraft Availability and Optimization of Component Costs by Pre-Emptive Removal of Targeted Components
Technical Paper
2019-01-1341
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
AeroTech Americas
Language:
English
Abstract
Availability of large repairable systems, like aircraft, are critical for commercial operators to generate revenue, and for military organizations to achieve their mission readiness objectives. Of the relatively few studies that deal with improving availability, most have focused on increasing reliability, and not on the biggest driver of low availability - Unscheduled Maintenance Events (UMEs). The cost of maintenance has long been a target of cost-cutting measures, and one common strategy focuses on extracting as much service life as possible out of various non-critical system components by letting those components “run to failure” (as defined in SAE JA1012). However, one of the biggest drawbacks of the “run to failure” approach is that it comes at the cost of lower asset availability because the failure of one of those components will nearly always lead to a UME, typically just when the operator wants to use, or is currently using, that asset. To combat the impact of UMEs, many OEMs, operators, and component manufacturers are looking to prognostics to get advanced notice of impending failures, so monitored components can be replaced before they completely fail. But, for technological and/or economic reasons, prognostics are not a viable option for the vast majority of components. Furthermore, the idea that running components to failure will reduce costs is fundamentally flawed because it fails to account for the extra operational costs incurred from those UMEs. As an alternative to running components to failure or relying only on prognostics, asset operators and maintainers need other strategies to minimize the operational impact of UMEs for components without prognostics that also balances component utilization and the operational costs associated with UMEs against overall asset availability. This paper presents a methodology for evaluating the trade-offs between these factors and shows how this approach can potentially reduce overall asset life-cycle costs.
Recommended Content
Authors
Citation
Lesmerises, A., "Improvement of Aircraft Availability and Optimization of Component Costs by Pre-Emptive Removal of Targeted Components," SAE Technical Paper 2019-01-1341, 2019, https://doi.org/10.4271/2019-01-1341.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 |
Also In
References
- Abernethy , R.B. The New Weibull Handbook Fifth North Palm Beach Robert B. Abernethy 2007 0-9653062-3-2
- Alaswad , S. and Yisha , X. A Review on Condition-Based Maintenance Optimization Models for Stochastically Deteriorating System Reliability Engineering and System Safety 157 54 63 2017
- Barabady , J. and Kumar , U. Availability Allocation through Importance Measures International Journal of Quality & Reliability Management 24 6 643 657 2007 www.emeraldinsight.com/0265-671X.htm 0265-671X
- Castanier , B. , Grall , A. , and Bérenguer , C. A Condition-Based Maintenance Policy with Non-Periodic Inspections for a Two-Unit Series System Reliability Engineering & System Safety 87 1 109 120 2005 10.1016/j.ress.2004.04.013
- Dekker , R. Applications of Maintenance Optimization Models: A Review and Analysis Reliability Engineering and System Safety 51 229 240 1996
- Hongzhou , W. A Survey of Maintenance Policies of Deteriorating Systems European Journal of Operational Research 139 469 489 2002
- Kapur , K.C. and Lamberson , L.R. Reliability in Engineering Design New York John Wiley & Sons 1977 0-471-51191-9
- Nowlan , F.S. , and Heap , H.F. 1978
- Olde Keizer , M.C.A. , Teunter , R.H. , and Veldman , J. Clustering Condition-Based Maintenance for Systems with Redundancy and Economic Dependencies European Journal of Operational Research 251 531 540 2016
- Wildeman , R.E. , Dekker , R. , and Smit , A.C.J.M. A Dynamic Policy for Grouping Maintenance Activities European Journal of Operational Research 99 530 551 1997
- SAE International Surface Vehicle/Aerospace Standard 2009
- SAE International Surface Vehicle/Aerospace Recommended Practice 2011
- SAE International Surface Vehicle/Aerospace Recommended Practice 2013