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Article | REF: R290 V2

Statistical process control - Use of control charts

Authors: Françoise BOULANGER, Georges CHÉROUTE, Valérie JOLIVET

Publication date: March 10, 2006, Review date: March 15, 2022 | Lire en français

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    1. Process parameters and product characteristics to be controlled

    1.1 Process parameters

    To control a process, it is necessary to work on the parameters of that process rather than on the characteristics of the product, i.e., to identify cause-and-effect relationships and quantify them at least roughly (for example, the effect of temperature on the viscosity of a polymer).

    Various tools can be used for this research, including:

    • failure tree or cause tree;

    • cause-and-effect diagram (also known as a "fishbone diagram" or "Ishikawa diagram");

    • correlation and regression studies;

    • experimental designs;

    • data analysis: principal components...

      • ...
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