On-Line Process Control using Attributes with Misclassification Errors: An Economical Design for Short-Run Production
DOI10.1080/03610926.2010.551451zbMath1272.62144OpenAlexW2161127690MaRDI QIDQ2920006
Lupércio F. Bessegato, Linda Lee Ho, Luiz Henrique Duczmal, Roberto C. Quinino
Publication date: 23 October 2012
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2010.551451
misclassification errorseconomic design Markov chainon-line process control using attributesshort-run production
Applications of statistics in engineering and industry; control charts (62P30) Discrete-time Markov processes on general state spaces (60J05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)
Related Items
Cites Work
- Diagnostic errors and repetitive sequential classifications in on-line process control by attributes
- Monitoring machine operations using on-line sensors
- An improved version of Taguchi's on-line control procedure
- Design of economically optimal acceptance sampling plans with inspection error
- Determining the optimal production--maintenance policy with inspection errors: Using a Markov chain
- The effect of testing equipment shift on optimal decisions in a repetitive testing process
- An analysis of Taguchi's on-line quality monitoring procedure for attributes with diagnosis errors
- A review of statistical process control techniques for short run manufacturing systems
- A second order approximation to taguchps online control procedure
- Monitoring process for attributes with quality deterioration and diagnosis errors
- Some improvements in taguchi's economic method allowing continued quality deterioration in production process
- Markov Chains
- Taguchi's Quality Engineering Handbook
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