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  2. Shewhart individuals control chart - Wikipedia

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

    The resulting plots are analyzed as for other control charts, using the rules that are deemed appropriate for the process and the desired level of control. At the least, any points above either upper control limits or below the lower control limit are marked and considered a signal of changes in the underlying process that are worth further ...

  3. Control chart - Wikipedia

    en.wikipedia.org/wiki/Control_chart

    Control charts, also known as Shewhart charts (after Walter A. Shewhart) or process-behavior charts, are a statistical process control tool used to determine if a manufacturing or business process is in a state of control. It is more appropriate to say that the control charts are the graphical device for statistical process monitoring (SPM).

  4. Statistical process control - Wikipedia

    en.wikipedia.org/wiki/Statistical_process_control

    Shewhart consulted with Colonel Leslie E. Simon in the application of control charts to munitions manufacture at the Army's Picatinny Arsenal in 1934. That successful application helped convince Army Ordnance to engage AT&T's George D. Edwards to consult on the use of statistical quality control among its divisions and contractors at the ...

  5. Walter A. Shewhart - Wikipedia

    en.wikipedia.org/wiki/Walter_A._Shewhart

    That all changed on May 16, 1924. Shewhart's boss, George D. Edwards, recalled: "Dr. Shewhart prepared a little memorandum only about a page in length. About a third of that page was given over to a simple diagram which we would all recognize today as a schematic control chart. That diagram, and the short text which preceded and followed it ...

  6. Common cause and special cause (statistics) - Wikipedia

    en.wikipedia.org/wiki/Common_cause_and_special...

    Shewhart argued that, as processes subject to special-cause variation were inherently unpredictable, the usual techniques of probability could not be used to separate special-cause from common-cause variation. He developed the control chart as a statistical heuristic to distinguish the two types of variation.

  7. Nelson rules - Wikipedia

    en.wikipedia.org/wiki/Nelson_rules

    Nelson rules are a method in process control of determining whether some measured variable is out of control (unpredictable versus consistent). Rules for detecting "out-of-control" or non-random conditions were first postulated by Walter A. Shewhart [1] in the 1920s.

  8. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    In statistical quality control, the ¯ and s chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a business or industrial process. [1] This is connected to traditional statistical quality control (SQC) and statistical process control (SPC).

  9. List of ISO standards 5000–7999 - Wikipedia

    en.wikipedia.org/wiki/List_of_ISO_standards_5000...

    ISO 7870 Control charts. ISO 7870-1:2014 Part 1: General guidelines; ISO 7870-2:2013 Part 2: Shewhart control charts; ISO 7870-3:2012 Part 3: Acceptance control charts; ISO 7870-4:2011 Part 4: Cumulative sum charts; ISO 7870-5:2014 Part 5: Specialized control charts; ISO 7870-6:2016 Part 6: EWMA control charts

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