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  2. Control chart - Wikipedia

    en.wikipedia.org/wiki/Control_chart

    Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.

  3. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    Shewhart individuals control chart. In statistical quality control, the individual/moving-range chart is a type of control chart used to monitor variables data from a business or industrial process for which it is impractical to use rational subgroups. [1] The chart is necessary in the following situations: [2]: 231.

  4. Template:Infobox control chart - Wikipedia

    en.wikipedia.org/wiki/Template:Infobox_control_chart

    Image file depicting control chart for the mean meancenter: No: None: None: How to compute the mean control chart center line meanlimits: No: None: None: How to compute the mean control chart limits (if limits are symmetric) meanupperlimit: No: None!{{meanlimits}} How to compute the mean control chart upper limit (if limits are asymmetric ...

  5. Statistical process control - Wikipedia

    en.wikipedia.org/wiki/Statistical_process_control

    Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where ...

  6. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    x̅ and R chart. x̅. and R chart. In statistical process control (SPC), the and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]

  7. Distribution-free control chart - Wikipedia

    en.wikipedia.org/.../Distribution-free_Control_Chart

    Distribution-free (nonparametric) control charts are one of the most important tools of statistical process monitoring and control. Implementation techniques of distribution-free control charts do not require any knowledge about the underlying process distribution or its parameters. The main advantage of distribution-free control charts is its ...

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