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AVEVA™ Manufacturing Execution System 2023 R2

Individual Values (ix)

  • Last UpdatedMay 16, 2023
  • 2 minute read

The LCL and UCL are calculated based on the sigma setting for a characteristic. The tables below contain formulas to calculate the CL, LCL and UCL for a chart point. Since the center line (CL) is the xbar (), the center line, LCL and UCL is the same for all the chart points for this chart type. A chart point is an individual reading (measurement data) collected for a characteristic.

The examples given below illustrate the control limits calculated for chart point 0.9350 (Sample ID: 51, ValueNumber:4).

Use Tables (sigma est = 0)

Formula

Example

CL = Mean ()

LCL = CL – (3 * Estimated Standard Deviation)

UCL = CL + (3 * Estimated Standard Deviation)

CL = 0.95267

LCL = 0.95267 – (3 * 0.02247) = 0.88526

UCL = 0.95267 + (3*0.02247) = 1.02008

For this example data, the estimated standard deviation is 0.02247.

Use Std. Dev. (sigma est = 1)

Formula

Example

CL = Mean ()

LCL = CL – (3 * Standard Deviation)

UCL = CL + (3 * Standard Deviation)

CL = 0.95267

LCL = 0.95267 – (3 * 0.02025) = 0.89192

UCL = 0.95267 + (3 * 0.02025) = 1.01342

For this example data, the standard deviation is 0.02025.

The following tables show examples of control limits and sigma limits for the first three chart points and the last chart point using all the data.

Label

Chart Point

Use Tables (sigma est = 0)

LCL

CL

UCL

Lower σ

Upper σ

1

0.9100

0.885250

0.952667

1.020083

0.022472

0.022472

2

0.9550

0.885250

0.952667

1.020083

0.022472

0.022472

3

0.9800

0.885250

0.952667

1.020083

0.022472

0.022472

...

15

0.9350

0.885250

0.952667

1.020083

0.022472

0.022472

Label

Chart Point

Use Std. Dev. (sigma est = 1)

LCL

CL

UCL

Lower σ

Upper σ

1

0.9100

0.891904

0.952667

1.013430

0.020254

0.020254

2

0.9550

0.891904

0.952667

1.013430

0.020254

0.020254

3

0.9800

0.891904

0.952667

1.013430

0.020254

0.020254

...

15

0.9350

0.891904

0.952667

1.013430

0.020254

0.020254

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