Production quality and yield assurance for processes with multiple independent characteristics

DOI10.1016/J.EJOR.2005.02.050zbMath1125.90345OpenAlexW2038945392MaRDI QIDQ2496085

Wen Lea Pearn, Chien-wei Wu

Publication date: 30 June 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.02.050

zbMATH Keywords

bootstrap samplingprocess capability indiceslower confidence boundMPPAC control chart

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Production models (90B30)

Related Items (3)

Optimal design of overall yield-based variable repetitive sampling plans for processes with multiple characteristics ⋮ Construction of closed interval for process capability indicesC_pu,C_pl, andS_pkbased on Boole’s inequality and de Morgan’s laws ⋮ A robust bootstrap control chart for the log-logistic percentiles

Cites Work

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• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
• Bootstrap methods: another look at the jackknife
• Multivariate Process Analysis with Lattice Data
• On the distributions of the estimated process capability indices
• How Reliable is Your Capability Index?
• Distributional and inferential properties of the process accuracy and process precision indices
• Process capability analysis for an entire product
• Brocess capability with asymmetric tolerances

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