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Applying Forgotten Lessons in Field Reliability Data Analysis to Performance-Based Support Contracts.

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Title: Applying Forgotten Lessons in Field Reliability Data Analysis to Performance-Based Support Contracts.
Authors: Settanni, Ettore1 (AUTHOR) E.Settanni@bath.ac.uk, Newnes, Linda B.1 (AUTHOR), Thenent, Nils E.1 (AUTHOR), Parry, Glenn C.2 (AUTHOR), Bumblauskas, Daniel3 (AUTHOR), Sandborn, Peter4 (AUTHOR), Goh, Yee Mey5 (AUTHOR)
Source: Engineering Management Journal. Mar2016, Vol. 28 Issue 1, preceding p2-13. 12p. 1 Diagram, 3 Charts, 6 Graphs.
Subjects: Data analysis, Performance-based design, Statistical reliability, Avionics, Decision making
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 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. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Applying Forgotten Lessons in Field Reliability Data Analysis to Performance-Based Support Contracts.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Management+Journal%22">Engineering Management Journal</searchLink>. Mar2016, Vol. 28 Issue 1, preceding p2-13. 12p. 1 Diagram, 3 Charts, 6 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Performance-based+design%22">Performance-based design</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Avionics%22">Avionics</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink>
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  Data: 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 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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