Abstract
This chapter details the way ISO international standards for quality control are developed. Quality Control starts with Quality, and standardization is crucial to deliver products and services where quality satisfies final users, whatever they are customers, organizations, or public bodies. The development process, carried out by Technical Committees (TCs), entails a kind of path until the standard is finally adopted, including several types of intermediate deliverables. The work of such TCs is outlined along with the general structure of ISO, and with a focus on the TC in charge of statistical methods. Finally, the current and potential role that R can play, not only as statistical software, but also as programming language, is shown.
Keywords
- Control Chart
- Technical Committee
- Quality Management System
- Statistical Interpretation
- National Body
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.
Check the up-to-date list at http://www.iso.org/iso/home/about/iso_members.htm.
- 2.
Frank Kaplan, see http://asq.org/about-asq/who-we-are/bio_box.html.
- 3.
- 4.
- 5.
For example, ISO 14000—Environmental management.
- 6.
- 7.
Sometimes also in Russian.
- 8.
- 9.
- 10.
There is an RSS channel for each standard, but the abstract is not there.
- 11.
The grep function uses regular expressions to match text info.
- 12.
The syntax package::function avoids conflict with other packages’ functions with the same name.
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ISO TC69/SC7–Applications of statistical and related techniques for the implementation of Six Sigma: ISO/TR 29901:2007/Cor 1:2009. Published standard (2009). http://www.iso.org/iso/catalogue_detail.htm?csnumber=54056
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ISO TC69/SC7–Applications of statistical and related techniques for the implementation of Six Sigma: ISO/TR 14468:2010 - Selected illustrations of attribute agreement analysis. Published standard (2010). http://www.iso.org/iso/catalogue_detail.htm?csnumber=52900
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Cano, E.L., Moguerza, J.M., Corcoba, M.P. (2015). R and the ISO Standards for Quality Control. In: Quality Control with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-24046-6_4
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