Case Study- Bayfield Mud Company

Case Analysis- Bayfield Mud Company

  • Dilip
  • Navjot
  • Amanpreet Singh

Introduction

According to the research study of the bag pounds problem, therefore the control division gathered the weight carrier as a sample from three several shifts (morning, afternoon, nighttime) every day. According to given article the six samples gathered per shift, which means size of the sample is usually six. To analysis the survey of three different shift, we will apply x-bar chart and selection chart.

Moreover we will need mean value we.e is 50, description listed below. In addition we may also calculate the number chart figure for each and every samples in different shifts, which will be find out by applying formula (Largest-Smallest).

Analysis

D3(Value extracted from Sigma table)=0

D4 (Value extracted from Sigma table)==2.004

N(Sample Size)=6

Standard Deviation=1.2

Desired Control Limit 3Sigma =99.73%

Formulation

For X Chart

UCL x (Top Control Limit for x bar) = X-Dbl Bar+Zï€ ï³x

Lower Control Limit (Top Control Limit = X-Dbl Bar-Zï€ ï³x

x= is certainly calculated by /Sqrt(n)

For R Chart

UCLR (Top Control Limit for the number) = D4*RBar

LCLR(Decrease Control Limit for the Range)= D3*Rbar

Morning Shift

For X Chart

For R Chart

Samples

Time

Shifts

Average

Smallest

Largest

Range

X Bar (Averages)

49.80

R-Bar (CL)

3.45

1

6

Day 1 Morning

49.6

48.7

50.7

2.0

UCLx

51.27

LCL r

0.00

2

7

50.2

49.1

51.2

2.1

LCLx

48.33

UCL r

6.91

3

8

50.6

49.6

51.4

1.8

CL

50

4

9

50.8

50.2

51.8

1.6

5

10

49.9

49.2

52.3

3.1

6

11

50.3

48.6

51.7

3.1

7

12

48.6

46.2

50.4

4.2

8

1

49

46.4

50

3.6

9

6

Day 2 Morning

48.6

47.4

52

4.6

10

7

50

49.2

52.2

3.0

11

8

49.8

49

52.4

3.4

12

9

50.3

49.4

51.7

2.3

13

10

50.2

49.6

51.8

2.2

14

11

50

49

52.3

3.3

15

12

50

48.8

52.4

3.6

16

1

50.1

49.4

53.6

4.2

17

6

Day 3 Morning

48.4

45

49

4.0

18

7

48.8

44.8

49.7

4.9

19

8

49.6

48

51.8

3.8

20

9

50

48.1

52.7

4.6

21

10

51

48.1

55.2

7.1

22

11

50.4

49.5

54.1

4.6

23

12

50

48.7

50.9

2.2

24

1

48.9

47.6

51.2

3.6

Afternoon Shift

For X Chart

For R Chart

Samples

Time

Shifts

Average

Smallest

Largest

Range

X Bar (Averages)

48.93

R-Bar (CL)

4.38

1

2

Day 1 Afternoon

49

46

50.6

4.6

UCLx

50.40

LCL r

0.00

2

3

49.8

48.2

50.8

2.6

LCLx

47.46

UCL r

8.78

3

4

50.3

49.2

52.7

3.5

CL

50

4

5

51.4

50

55.3

5.3

5

6

51.6

49.2

54.7

5.5

6

7

51.8

50

55.6

5.6

7

8

51

48.6

53.2

4.6

8

9

50.5

49.4

52.4

3

9

2

Day 2 Afternoon

49.70

48.6

51

2.4

10

3

48.4

47.2

51.7

4.5

11

4

47.20

45.3

50.9

5.6

12

5

46.8

44.1

49

4.9

13

6

46.8

41

51.2

10.2

14

7

50

46.2

51.7

5.5

15

8

47.4

44

48.7

4.7

16

9

47

44.2

48.9

4.7

17

2

Day 3 Afternoon

49.8

48.4

51

2.6

18

3

49.8

48.8

50.8

2

19

4

50

49.1

50.6

1.5

20

5

47.8

45.2

51.2

6

21

6

46.4

44

49.7

5.7

22

7

46.4

44.4

50

5.6

23

8

47.2

46.6

48.9

2.3

24

9

48.4

47.2

49.5

2.3

Night Shifts

X Bar Chart

R Chart

Samples

Time

Shifts

Average

Smallest

Largest

R-Bar

X Bar Average

48.65

R- Bar (CL)

3.36

1

10

Day1 Night

49.2

46.1

50.7

4.6

UCLx

51.50

UCLr

6.73

2

11

49

46.3

50.8

4.5

LCLx

45.80

LCLr

0

3

12

48.40

45.4

50.2

4.8

CL

50

4

1

47.6

44.3

49.7

5.4

5

2

47.4

44.1

49.6

5.5

6

3

48.20

45.2

49

3.8

7

4

48

45.5

49.1

3.6

8

5

48.40

47.1

49.6

2.5

9

10

Day 2 Night

47.2

46.6

50.2

3.6

10

11

48.6

47

50

3

11

12

49.8

48.2

50.4

2.2

12

1

49.6

48.4

51.7

3.3

13

2

50

49

52.2

3.2

14

3

50

49.2

50

0.8

15

4

47.2

46.3

50.5

4.2

16

5

47

44.1

49.7

5.6

17

10

Day 3 Night

49.2

48.1

50.7

2.6

18

11

48.40

47

50.8

3.8

19

12

47.2

46.4

49.2

2.8

20

1

47.4

46.8

49

2.2

21

2

48.8

47.2

51.4

4.2

22

3

49.6

49

50.6

1.6

23

4

51

50.5

51.5

1

24

5

50.5

50

51.9

1.9

Analysis Report

After calculating and analysing the three different shifts of three times. We can discover that second shift and third shift regularly uncontrollable. Although, 21 Samples of range chart is only uncontrollable which is 7.10 which is higher how to write scholarship essays than UCLr which is 6.9. Despite, this is only shift which is in charge.

By observing the next shift it is clearly noticed that x chart is out of control, whereas R chart of second shift is in charge only 13 Samples has gone out of control which is 10.20 whereas UCLr is definitely 8.7842

Right now, for third change, the X bar Chart the process is consistently uncontrollable whereas the R chart is flawlessly in control.

Recommendation.

In order to control the system, Company should be done some changes, point out below

  • In order to develop the productivity, training ought to be provide to the brand new employees especially in the night time shift. Another solution enterprise can shift experienced worker in night shift to maintain the balance.
  • Bayfield Mud Company should analyze their machinery on standard basis as recommended by managers. As we know a small issued can convert into big hindrance during execution.
  • Company should retain the services of some quality control expert who can take proper responsibilities of audit and track every issues with all documents in useful way.
  • Bayfield Company should do automated testing creative college essay topics device to observe the bag weights.

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