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Acceptance control and guardbanding for error‐prone individual measurements
Author(s) -
Zhou Xin,
Govindaraju Kondaswamy,
Jones Geoff
Publication year - 2019
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.2416
Subject(s) - control chart , reliability engineering , statistical process control , process (computing) , computer science , acceptance sampling , autocorrelation , selection (genetic algorithm) , engineering , statistics , mathematics , sample size determination , machine learning , operating system
The concept of fractional nonconformance was recently proposed to assess the probability of conformance when measurements are error‐prone. Applications of fractional nonconformance assessment include acceptance sampling inspection and short‐run process control. In this study, we introduce a fractional nonconformance‐based one‐sided acceptance control chart to monitor a short‐run process as well as decide the acceptability of products manufactured from the process. The guardband technique is also incorporated in the proposed approach to reduce the impact of measurement errors. Guardband selection is investigated for both independent and autocorrelated processes. Our analysis shows that guardbanding is beneficial for short‐run production environments. The optimum guardbands obtained under risk and cost models are also found to be consistent.