STATISTICAL PROCESS CONTROL
STATISTICAL PROCESS CONTROL (SPC)
• Statistical process control (SPC) is a method of quality control

which uses statistical tools
• SPC is applied in order to monitor and control a process
• SPC can be applied to any process where the "conforming
product" (product meeting specifications) output can be
measured
• It is used to ensure the continuous improvement in quality of
the products, services and productivity in the workforce
CONTROL CHARTS :
• Control charts are also known as Shewhart charts (after Walter A.
Shewhart) or process-behavior charts
• Control charts are the

tools in SPC, used to determine if a

manufacturing or business process is in a state of statistical control.
Question :
A manufacturer produces digital watches. Every 2 hours ,a sample of six
watches is selected randomly to be tested. Each watch is run for exactly
15 minutes and is timed by an accurate , precise timing device. Because
of the variation among watches, they do not all run the same. Shown
here are the data from eight different samples given in minutes. Use
these data to construct

chart and R chart. Observe the results and

comment on whether the process is in control
Sample 1

Sample 2

Sample 3

Sample 4

15.01

15.03

14.96

15

14.99

14.96

14.97

15.01

14.99

15.01

14.96

14.97

15.00

15.02

14.99

15.01

14.98

14.97

15.01

14.99

14.99

15.01

14.98

14.96

Sample 5

Sample 6

Sample 7

Sample 8

15.02

15.02

15.03

14.96

15.03

15.01

15.04

14.99

14.99

14.97

15.03

15.02

15.01

15.00

15.00

15.01

15.02

15.01

15.01

14.98

15.01

14.99

14.99

15.02
Formulas used:
Calculation :
Sample 1

Sample 2

Sample 3

Sample 4

15.01

15.03

14.96

15

14.99

14.96

14.97

15.01

14.99

15.01

14.96

14.97

15.00

15.02

14.99

15.01

14.98

14.97

15.01

14.99

14.99

15.01

14.98

14.96

Mean

14.99

15.00

14.98

14.99

Range

0.03

0.07

0.05

0.05
Contd..
Sample 5

Sample 6

Sample 7

Sample 8

15.02

15.02

15.03

14.96

15.03

15.01

15.04

14.99

14.99

14.97

15.03

15.02

15.01

15.00

15.00

15.01

15.02

15.01

15.01

14.98

15.01

14.99

14.99

15.02

Mean

15.01

15.00

15.02

15.00

Range

0.04

0.05

0.05

0.06
Control Charts : Interpretation
X bar chart
15.03
15.02

Sample Mean

15.01
15
14.99
14.98
14.97
14.96
1

2

3

4

5
sample

6

7

8
R chart
0.08
0.07
0.06

Range

0.05
0.04
0.03
0.02
0.01
0
1

2

3

4

5
Sample

6

7

8
THANK YOU

Statistical process control technique with example - xbar chart and R chart

  • 1.
  • 2.
    STATISTICAL PROCESS CONTROL(SPC) • Statistical process control (SPC) is a method of quality control which uses statistical tools • SPC is applied in order to monitor and control a process • SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured • It is used to ensure the continuous improvement in quality of the products, services and productivity in the workforce
  • 3.
    CONTROL CHARTS : •Control charts are also known as Shewhart charts (after Walter A. Shewhart) or process-behavior charts • Control charts are the tools in SPC, used to determine if a manufacturing or business process is in a state of statistical control.
  • 4.
    Question : A manufacturerproduces digital watches. Every 2 hours ,a sample of six watches is selected randomly to be tested. Each watch is run for exactly 15 minutes and is timed by an accurate , precise timing device. Because of the variation among watches, they do not all run the same. Shown here are the data from eight different samples given in minutes. Use these data to construct chart and R chart. Observe the results and comment on whether the process is in control
  • 5.
    Sample 1 Sample 2 Sample3 Sample 4 15.01 15.03 14.96 15 14.99 14.96 14.97 15.01 14.99 15.01 14.96 14.97 15.00 15.02 14.99 15.01 14.98 14.97 15.01 14.99 14.99 15.01 14.98 14.96 Sample 5 Sample 6 Sample 7 Sample 8 15.02 15.02 15.03 14.96 15.03 15.01 15.04 14.99 14.99 14.97 15.03 15.02 15.01 15.00 15.00 15.01 15.02 15.01 15.01 14.98 15.01 14.99 14.99 15.02
  • 6.
  • 7.
    Calculation : Sample 1 Sample2 Sample 3 Sample 4 15.01 15.03 14.96 15 14.99 14.96 14.97 15.01 14.99 15.01 14.96 14.97 15.00 15.02 14.99 15.01 14.98 14.97 15.01 14.99 14.99 15.01 14.98 14.96 Mean 14.99 15.00 14.98 14.99 Range 0.03 0.07 0.05 0.05
  • 8.
    Contd.. Sample 5 Sample 6 Sample7 Sample 8 15.02 15.02 15.03 14.96 15.03 15.01 15.04 14.99 14.99 14.97 15.03 15.02 15.01 15.00 15.00 15.01 15.02 15.01 15.01 14.98 15.01 14.99 14.99 15.02 Mean 15.01 15.00 15.02 15.00 Range 0.04 0.05 0.05 0.06
  • 12.
    Control Charts :Interpretation X bar chart 15.03 15.02 Sample Mean 15.01 15 14.99 14.98 14.97 14.96 1 2 3 4 5 sample 6 7 8
  • 13.
  • 14.