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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
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.
Excel maintains 15 figures in its numbers, but they are not always accurate; mathematically, the bottom line should be the same as the top line, in 'fp-math' the step '1 + 1/9000' leads to a rounding up as the first bit of the 14 bit tail '10111000110010' of the mantissa falling off the table when adding 1 is a '1', this up-rounding is not undone when subtracting the 1 again, since there is no ...
In process improvement efforts, quality costs tite or cost of quality (sometimes abbreviated CoQ or COQ [1]) is a means to quantify the total cost of quality-related efforts and deficiencies. It was first described by Armand V. Feigenbaum in a 1956 Harvard Business Review article.
Typically this is expressed as a range higher or lower as compared with the point estimate with an expected probability that the actual cost will fall in the range. [16] An example for a definitive estimate might be that the estimate has a -5/+10% range of accuracy with a 90% confidence that the final value will fall in that range.
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Quality, cost, delivery (QCD), sometimes expanded to quality, cost, delivery, morale, safety (QCDMS), [1] is a management approach originally developed by the British automotive industry. [2] QCD assess different components of the production process and provides feedback in the form of facts and figures that help managers make logical decisions.
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