Chi-squared control chart for multiple attributes
| Autor: | John Flaig, Zhang Wu, Salah Haridy |
|---|---|
| Přispěvatelé: | School of Mechanical and Aerospace Engineering |
| Rok vydání: | 2012 |
| Předmět: |
Computer science
computer.software_genre Statistical process control Industrial and Manufacturing Engineering \bar x and s chart Multi-vari chart Engineering::Mechanical engineering [DRNTU] ComputingMilieux_GENERAL Chart Control and Systems Engineering Data_FILES Chi-square test Control chart Data mining Shewhart individuals control chart computer \bar x and R chart |
| Zdroj: | International Journal of Industrial and Systems Engineering. 12:316 |
| ISSN: | 1748-5045 1748-5037 |
| DOI: | 10.1504/ijise.2012.049414 |
| Popis: | In recent years, attribute control charts have been increasingly adopted in manufacturing processes and service sectors for monitoring the quality characteristics that cannot be numerically measured. The multiattribute control charts have been proved to be more effective than the simultaneous multiple individual charts for monitoring multiattribute processes. In this paper, a new multiattribute chi-squared (Χ²) chart is proposed to monitor the processes in which more than one type of defects exist on the non-conforming item. Some practical examples are given to illustrate the effectiveness of the new chart in monitoring the multiattribute processes compared with that of the individual p charts and other multiattribute charts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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