A case study in estimating avionics availability from field reliability data

Settanni, Ettore; Newnes, Linda B.; Thenent, Nils E.; Bumblauskas, Daniel; Parry, Glenn; Goh, Yee Mey

Abstract

Copyright © 2015 John Wiley & Sons, Ltd. Under incentivized contractual mechanisms such as availability-based contracts, the support service provider and its customer must share a common understanding of equipment reliability baselines. Emphasis is typically placed on the information technology-related solutions for capturing, processing and sharing vast amounts of data. In the case of repairable fielded items, scant attention is paid to the pitfalls within the modelling assumptions that are often endorsed uncritically and seldom made explicit during field reliability data analysis. This paper presents a case study in which good practices in reliability data analysis are identified and applied to real-world data with the aim of supporting the effective execution of a defence avionics availability-based contract. The work provides practical guidance on how to make a reasoned choice between available models and methods based on the intelligent exploration of the data available in practical industrial applications.

• Journal Article Type: Article
• Publication Date: Jun 1, 2016
• Deposit Date: Jul 30, 2015
• Publicly Available Date: Aug 20, 2016
• Journal: Quality and Reliability Engineering International
• Print ISSN: 0748-8017
• Electronic ISSN: 1099-1638
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 32
• Issue: 4
• Pages: 1553-1580
• DOI: https://doi.org/10.1002/qre.1854
• Keywords: field reliability, statistical data analysis, availability, avionics, case study
• Public URL: https://uwe-repository.worktribe.com/output/908985
• Publisher URL: http://dx.doi.org/10.1002/qre.1854
• Additional Information: Additional Information : This is the peer reviewed version of the following article: Settanni, E., Newnes, L., Thenent, N., Bumblauskas, D., Parry, G. and Goh, Y. M. (2015) A case study in estimating avionics availability from field reliability data. Quality and Reliability Engineering International. ISSN 1099-1638, which has been published in final form at http://dx.doi.org/10.1002/qre.1854. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
• Contract Date: May 9, 2016