Reliability Improvement Analysis Using Fractional Failure

Mingxiao Jiang () and Feng-Bin Sun ()
Additional contact information
Feng-Bin Sun: Tesla, Inc.

A chapter in Reliability and Statistical Computing, 2020, pp 17-33 from Springer

Abstract: Abstract Many companies adopted Design for Reliability (DFR) process and tool sets to drive reliability improvement. However, it has been very challenging for business sector to conduct DFR with meaningful reliability metrics, when the reliability requirement is very high and the product samples in testing are very limited with small numbers of failure during product development tests. Bayesian approaches have been introduced by some companies to handle such challenges. Lately, some research has been conducted for reliability analysis by using fractional failures to count for failure fix effectiveness. In this paper, we will construct an approach to improve product reliability during development with fractional failure analysis method, incorporating failure fix effectiveness during each testing and failure fix phase. The fractional failure analysis is also expanded to accelerated reliability testing modeling.

Keywords: Product development; Reliability improvement; Fractional failure; Fix effectiveness (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-43412-0_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030434120

DOI: 10.1007/978-3-030-43412-0_2

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().