Modeling Uncertainty in Reliability Growth Plans

Wayne, Martin

doi:10.1109/ram.2018.8463130

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conjugate priors are used to model knowledge of the parameters. Wayne [12] discusses using a beta prior distribution for the factor by which MTBF increases after a fix. Our model generalises this to assuming that the increase in MTBF is itself a random variable and that MTBF's follow a pattern similar to that of AMSAA NHP approach.…”

Section: Literaturementioning

confidence: 99%

Bayesian Modelling for Product Testing and Release

Wilson¹

2020

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Deciding when to release a new product requires a tradeoff between costs, potential profits and the underlying reliability of a product. Many new products go through a "Test Analyze and Fix" process. When a failure occurs, an immediate design "fix" may occur or the product might undergo a minimal fix with design changes being delayed until later when many changes can be introduced at the same time. We introduce a Bayesian model that allows for the introduction of managerial knowledge and experience. Unlike most approaches, we do not build in an assumption that the product always improves throughout the process.

show abstract

Section: Literaturementioning

confidence: 99%

Bayesian Modelling for Product Testing and Release

Wilson¹

2020

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

show abstract

Modeling Uncertainty in Reliability Growth Plans

Cited by 1 publication

References 2 publications

Bayesian Modelling for Product Testing and Release

Bayesian Modelling for Product Testing and Release

Contact Info

Product

Resources

About