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Title: Applying forgotten lessons in field reliability data analysis to performance-based support contracts
Authors: Settanni, Ettore
Newnes, Linda B.
Thenent, Nils E.
Parry, Glenn
Bumblauskas, Daniel
Sandborn, P.
Goh, Yee M.
Keywords: Statistical analysis
Repairable items
Reliability data
Performance-based logistics
Case study
Issue Date: 2016
Publisher: © Institution of Engineering and Technology (IET)
Citation: GOH, Y.M. ...et al., 2016. Applying forgotten lessons in field reliability data analysis to performance-based support contracts. Engineering Management Journal, 28(1), pp.3-13.
Abstract: Assumptions used in field reliability data analysis may be seldom made explicit or questioned in practice, yet these assumptions affect how engineering managers develop metrics for use in long-term support contracts. To address this issue, this article describes a procedure to avoid the pitfalls in employing the results of field data analysis for repairable items. The procedure is then implemented with the aid of a simplified example based on a real case study in defense avionics, and is streamlined so that the computations can be replicated in other applications.
Description: This paper is a postprint of a paper submitted to and accepted for publication in Engineering Management Journal and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Version: Accepted for publication
DOI: 10.1080/10429247.2015.1130508
URI: https://dspace.lboro.ac.uk/2134/19752
Publisher Link: http://dx.doi.org/10.1080/10429247.2015.1130508
ISSN: 0960-7919
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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