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Bayesian assurance tests for degradation data
Author(s) -
Weaver B.P.,
Hamada M.S.,
Wilson A.G.,
Bakerman J.E.
Publication year - 2017
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2228
Subject(s) - bayesian probability , quality assurance , reliability engineering , computer science , test (biology) , product (mathematics) , risk analysis (engineering) , engineering , artificial intelligence , operations management , business , mathematics , biology , paleontology , external quality assessment , geometry
Assurance test plans are chosen to manage consumer's and producer's risks. We develop methods for planning Bayesian assurance tests for degradation data, ie, on the basis of the degradation data collected in the test, a decision is made whether to accept or reject a product. Bayesian assurance tests incorporate prior knowledge in the planning stage and use this information to evaluate posterior consumer's and producer's risks. We consider prior knowledge that takes the form of related degradation data. Assurance test plans are then found that meet the specified requirements for consumer's and producer's risks. We illustrate the planning of such assurance tests with an example involving printhead migration data. We also investigate the impact of measurement error on these assurance test plans.