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Combining attribute and variable data to monitor process variability: MIX S 2 control chart

  • Published:2016-04-14 Issue:9-12 Volume:87 Page:3389-3396
  • ISSN:0268-3768
  • Container-title:The International Journal of Advanced Manufacturing Technology
  • language:en
  • Short-container-title:Int J Adv Manuf Technol

Author:

Ho Linda Lee,da Costa Quinino Roberto

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference9 articles.

1. Montgomery DC (2009) Introduction to statistical quality control. Wiley, New York

2. Stevens WL (1948) Control by gauging with discussion. J R Stat Soc Ser B 10:54–108

3. Mace AE (1952) The use of limit gages in process control. Ind Qual Control 8:24–31

4. Steiner SH, Geyer PL, Wesolowsky GO (1994) Control charts based on grouped observations. Int J Prod Res 32:75–91

5. Steiner SH, Geyer PL, Wesolowsky GO (1996) Shewhart control charts to detect mean and standard deviation shifts based on grouped data. Qual Reliab Eng Int 12:345–353

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2. The use of npx$np_{x}$‐type attribute charts to monitor the variance;Quality and Reliability Engineering International;2021-11-12

3. Improving the performance of the attribute charts: X¯tn$\bar{X}_{tn}$ and Stn2$S^2_{tn}$;Quality and Reliability Engineering International;2021-11-09

4. Monitoring the covariance matrix of bivariate processes with the DVMAX control charts;Applied Stochastic Models in Business and Industry;2021-10-10

5. A trinomial chart for monitoring the process variance;Computers & Industrial Engineering;2021-07
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