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  2. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    Use variable-width control limits [6] Each observation plots against its own control limits as determined by the sample size-specific values, n i, of A 3, B 3, and B 4: Use control limits based on an average sample size [7] Control limits are fixed at the modal (or most common) sample size-specific value of A 3, B 3, and B 4

  3. 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.

  4. Shewhart individuals control chart - Wikipedia

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

    Individuals and moving range control chart; Originally proposed by: Walter A. Shewhart: Process observations; Rational subgroup size: n = 1: Measurement type: Average quality characteristic per unit: Quality characteristic type: Variables data: Underlying distribution: none: Performance; Size of shift to detect: ≥ 1.5σ: Process variation ...

  5. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    As with the ¯ and s and individuals control charts, the ¯ chart is only valid if the within-sample variability is constant. [4] Thus, the R chart is examined before the ¯ chart; if the R chart indicates the sample variability is in statistical control, then the ¯ chart is examined to determine if the sample mean is also in statistical control.

  6. p-chart - Wikipedia

    en.wikipedia.org/wiki/P-chart

    The p-chart only accommodates "pass"/"fail"-type inspection as determined by one or more go-no go gauges or tests, effectively applying the specifications to the data before they are plotted on the chart. Other types of control charts display the magnitude of the quality characteristic under study, making troubleshooting possible directly from ...

  7. Statistical process control - Wikipedia

    en.wikipedia.org/wiki/Statistical_process_control

    Control charts attempt to differentiate "assignable" ("special") sources of variation from "common" sources. "Common" sources, because they are an expected part of the process, are of much less concern to the manufacturer than "assignable" sources. Using control charts is a continuous activity, ongoing over time.

  8. EWMA chart - Wikipedia

    en.wikipedia.org/wiki/EWMA_chart

    In statistical quality control, an EWMA chart (or exponentially weighted moving average chart) is a type of control chart used to monitor either variables or attributes-type data using the monitored business or industrial process's entire history of output. [1]

  9. CUSUM - Wikipedia

    en.wikipedia.org/wiki/CUSUM

    Rational subgroup size: n = 1: Measurement type: Cumulative sum of a quality characteristic: Quality characteristic type: Variables data: Underlying distribution: Normal distribution: Performance; Size of shift to detect: ≤ 1.5σ: Process variation chart; Not applicable: Process mean chart; Center line: The target value, T, of the quality ...