Performance comparison of generalized confidence interval and modified sampling distribution approaches for assessing one-sided capability indices with gauge measurement errors

DOI10.1080/03610926.2020.1752729OpenAlexW3020262459MaRDI QIDQ5079267

Dwi Yuli Rakhmawati, Kwang-Jae Kim, Sumiati

Publication date: 25 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1752729

zbMATH Keywords

lower confidence boundprocess capabilitygauge measurement errorsprocess performance evaluationone-sided tolerance

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Statistics (62-XX)

Related Items (1)

A product acceptance decision-making method based on process capability with considering gauge measurement errors

Cites Work

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• Generalized confidence intervals for process capability indices in the one-way random model
• Assessing process capability based on the lower confidence bound of \(C_{pk}\) for asymmetric tolerances
• Process Capability Assessment for Asymmetric Tolerances with Consideration of Gauge Measurement Errors
• Performance evaluation of processes with asymmetric tolerances in the presence of gauge measurement errors
• Process performance evaluation based on Taguchi capability index with the consideration of measurement errors
• Using a novel approach to assess process performance in the presence of measurement errors
• Generalized Confidence Intervals
• Testing process capability based onC_pmin the presence of random measurement errors
• Families of Capability Indices for One-Sided Specification Limits

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