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Part dimension deviation control in batch manufacturing process for monitoring error sources

Miao, Rui; Zhang, Xinyi; Li, Sike; Jiang, Zhibin - In: International journal of production research 51 (2013) 8, pp. 2518-2526

Persistent link: https://www.econbiz.de/10009731335

Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing

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Persistent link: https://www.econbiz.de/10014227482

Interpretations of fault identification in multivariate manufacturing processes

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Persistent link: https://www.econbiz.de/10011509156

Discriminant locality preserving projection chart for statistical monitoring of manufacturing processes

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Persistent link: https://www.econbiz.de/10010419038

Process quality

2011

Persistent link: https://www.econbiz.de/10003883242

Analyzing and forecasting the reliability for repairable systems using the time series decomposition method

Liang, Yi-hui - In: International journal of quality & reliability management 28 (2011) 3, pp. 317-327

Persistent link: https://www.econbiz.de/10009008064

A new approach to monitor the process dispersion

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Persistent link: https://www.econbiz.de/10009008078

An application of control charts in manufacturing industry

Riaz, Muhammad; Muhammad, Faqir - In: Journal of statistical and econometric methods 1 (2012) 1, pp. 77-92

The range control chart and the X bar control chart are the well known and the most popular tools for detecting out- of-control signals in the Statistical Quality Control (SQC). The control charts has shown his worth in the manufacturing industry. In this study we have applied the range and the...

Persistent link: https://www.econbiz.de/10009769996

Application of statistical techniques for improving yield of a manufacturing process

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Persistent link: https://www.econbiz.de/10009757139

Statistical process control for the FDA-regulated industry

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Persistent link: https://www.econbiz.de/10009784989

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