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Resistors for electronic circuits are manufactured on a high-speed automated mac

ID: 376135 • Letter: R

Question

Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 10.13.

     To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows: Use three-sigma control limits.

a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest whole number.)

d. Determine the UCL and LCL for R-chart. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 3 decimal places.)

e. What comments can you make about the process?

SAMPLE NUMBER READINGS (IN OHMS) 1 972 990 997 1000 2 994 1005 996 994 3 1029 1022 1028 972 4 994 1025 999 994 5 1004 993 1009 1016 6 986 973 1003 987 7 982 977 988 998 8 985 982 1021 1013 9 1027 1010 1003 989 10 1028 997 1002 978 11 1013 1029 1011 999 12 975 1029 1026 979 13 985 1003 987 980 14 1022 986 1028 983 15 998 1023 1027 1021

Explanation / Answer

Please find below table which calculates Mean and Range for each sample of 4 resistors each :

SERIAL NUMBER

SAMPLE

1

2

3

4

MEAN

RANGE

1

972

990

997

1000

989.75

28

2

994

1005

996

994

997.25

11

3

1029

1022

1028

972

1012.75

57

4

994

1025

999

994

1003

31

5

1004

993

1009

1016

1005.5

23

6

986

973

1003

987

987.25

30

7

982

977

988

998

986.25

21

8

985

982

1021

1013

1000.25

39

9

1027

1010

1003

989

1007.25

38

10

1028

997

1002

978

1001.25

50

11

1013

1029

1011

999

1013

30

12

975

1029

1026

979

1002.25

54

13

985

1003

987

980

988.75

23

14

1022

986

1028

983

1004.75

45

15

998

1023

1027

1021

1017.25

29

SUM =

15016.5

509

Following formula may be noted :

Mean for any sample = Sum of sample values / 4

Range for each sample = Maximum value in that sample – Minimum value in that sample

Therefore,

Xbar-bar = Mean of sample means = Sum of all sample means / 15 ( i.e number of samples ) = 15016.5/15 = 1001.10

Rbar = Mean of Range values = Sum of all range values / 15 (i.e number of samples ) = 509/15 = 33.93

Following are the value so constants derived from standard table for Xbar chart and Range chart for sample size, n = 4 :

A2 = 0.729

D4 = 2.282

D3 = 0

Accordingly,

Control Limits for Xbar chart :

Upper Control Limit = UCL = Xbar-bar + A2.Rbar = 1001.10 + 0.729 x 33.93 = 1001.10 + 24.734 = 1025.834

Lower Control Limit = LCL = Xbar-bar – A2.Rbar = 1001.10 – 0.729 x 33.93 = 1001.10 – 24.734 = 976.366

Control Limits for Range chart :

Upper Control Limit -= D4.Rbar = 2.282 x 33.93 = 77.428

Lower Control Limit = D3.Rbar = 0

As per control limits for Xbar chart, for the process to be in control all data must be within control range of 976.366 – 1025.834

However, there are sample data e.g 972, 973,1026, 1027, 1028, 1029 which are outside the above control limits

It therefore can be concluded that the process is out of statistical control

THE PROCESS IS OUT OF STATISTICAL CONTROL

SERIAL NUMBER

SAMPLE

1

2

3

4

MEAN

RANGE

1

972

990

997

1000

989.75

28

2

994

1005

996

994

997.25

11

3

1029

1022

1028

972

1012.75

57

4

994

1025

999

994

1003

31

5

1004

993

1009

1016

1005.5

23

6

986

973

1003

987

987.25

30

7

982

977

988

998

986.25

21

8

985

982

1021

1013

1000.25

39

9

1027

1010

1003

989

1007.25

38

10

1028

997

1002

978

1001.25

50

11

1013

1029

1011

999

1013

30

12

975

1029

1026

979

1002.25

54

13

985

1003

987

980

988.75

23

14

1022

986

1028

983

1004.75

45

15

998

1023

1027

1021

1017.25

29

SUM =

15016.5

509

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