peta kendali variabel

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Peta Kendali Variabel

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Peta Kendali Variabel. Menggambarkan variasi atau penyimpangan yg terjadi pd kecenderungan data variabel Kondisi in-out of control tapi tdk identik dg kepuasan pelanggan. Manfaat…. Perbaikan kualitas Menentukan kemampuan proses - PowerPoint PPT Presentation

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Page 1: Peta Kendali Variabel

Peta KendaliVariabel

Page 2: Peta Kendali Variabel

• Menggambarkan variasi atau penyimpangan yg terjadi pd kecenderungan data variabel

• Kondisi in-out of control tapi tdk identik dg kepuasan pelanggan

Page 3: Peta Kendali Variabel

Manfaat…

• Perbaikan kualitas

• Menentukan kemampuan proses

• Membuat keputusan berkaitan dg proses produksi dan produk yg dihasilkan

Page 4: Peta Kendali Variabel

Tahapan…

1. Pemilihan karakteristik kualitas– panjang, berat, volume, waktu– Mempengaruhi kinerja produk– Pemilihan karakteristik dg Diagram Pareto

Page 5: Peta Kendali Variabel

2. Pemilihan Sub Kelompok

Ukuran Sampel menurut Inspeksi Normal ANSI/ASQC Z1.9-1993

Byknya produk yg dihasilkan Ukuran Sampel

91 – 150

151 – 280

281 – 400

401 – 500

501 – 1200

1201 – 3200

3201 – 10000

10001 – 35000

35001 - 150000

10

15

20

25

35

50

75

100

150

Page 6: Peta Kendali Variabel

3. Pengumpulan Data

4. Penentuan Batas Kendali untuk pet X-R dan Nilai Faktor Guna

Page 7: Peta Kendali Variabel

X Chart

Range for sample i

# Samples

Mean for sample i

From Table Nilai Guna

RAxxLCL

RAxxUCL

n

R R

i

n

1i

n

xi

n

ix

Page 8: Peta Kendali Variabel

Nilai Faktor Guna

Sample Size, n

Mean Factor, A2

Upper Range, D4

Lower Range, D3

2 1.880 3.268 0

3 1.023 2.574 0

4 0.729 2.282 0

5 0.577 2.115 0

6 0.483 2.004 0

7 0.419 1.924 0.076

8 0.373 1.864 0.136

9 0.337 1.816 0.184

10 0.308 1.777 0.223

12 0.266 1.716 0.284 0.184

Page 9: Peta Kendali Variabel

R Chart

Range for Sample i

# Samples

From Table Nilai Guna

n

R R

R D LCL

R D UCL

i

n

1i

3R

4R

Page 10: Peta Kendali Variabel

Process Capability Ratio, Cp

process the of deviation standard

6σionSpecificat LowerionSpecificat Upper

pC

Page 11: Peta Kendali Variabel

Process Capability Cpk

population process the of deviation standard mean process x where

LimitionSpecificatLower x

or , x Limit ionSpecificatUpper

of minimum

3

3pkC

Assumes that the process is:• under control• normally distributed

Page 12: Peta Kendali Variabel

Warning Conditions…..

Western Electric :1. 1 titik diluar batas kendali ( 3σ)2. 2 dr 3 titik berurutan diluar batas

kendali (2σ)3. 4 dr 5 titik berurutan jauh dari GT

(1σ)4. 8 titik berurutan di satu sisi GT5. Giliran panjang 7-8 titik6. 1/beberapa titik dekat satu batas

kendali7. Pola data TAK RANDOM

Page 13: Peta Kendali Variabel

Examples: Compute the 3 control charts for X and R from 15 samples of size n=3. Plot the control limits and the X and R values and comment about the underlying process. Sample OBSERVED DIMENSIONS (cm)

1 4.843 4.863 4.859 2 4.925 4.882 4.891 3 4.866 4.914 4.873 4 4.852 4.883 4.88 5 4.92 4.884 4.821 6 4.915 4.902 4.898 7 4.887 4.892 4.858 8 4.868 4.888 4.842 9 4.904 4.863 4.866 10 4.921 4.92 4.894 11 4.914 4.884 4.899 12 4.892 4.896 4.887 13 4.866 4.829 4.88 14 4.85 4.875 4.872 15 4.867 4.9 4.885

Page 14: Peta Kendali Variabel

Sample OBSERVED DIMENSIONS (cm) mean range1 4.843 4.863 4.859 4.855 0.0202 4.925 4.882 4.891 4.899 0.0433 4.866 4.914 4.873 4.884 0.0484 4.852 4.883 4.88 4.872 0.0315 4.92 4.884 4.821 4.875 0.0996 4.915 4.902 4.898 4.905 0.0177 4.887 4.892 4.858 4.879 0.0348 4.868 4.888 4.842 4.866 0.0469 4.904 4.863 4.866 4.878 0.041

10 4.921 4.92 4.894 4.912 0.02711 4.914 4.884 4.899 4.899 0.03012 4.892 4.896 4.887 4.892 0.00913 4.866 4.829 4.88 4.858 0.05114 4.85 4.875 4.872 4.866 0.02515 4.867 4.9 4.885 4.884 0.033

4.882 0.037

Page 15: Peta Kendali Variabel

844.4)037(.023.1882.4

920.4)037(.023.1882.4

x

x

LCL

UCL

x Chart

Page 16: Peta Kendali Variabel

Six Sigma Control Chart (x-bar)

4.840

4.850

4.860

4.870

4.880

4.890

4.900

4.910

4.920

4.930

0 2 4 6 8 10 12 14 16

Observation

cm

Sample Mean

Upper Control Limit

Lower Control Limit

Center Line

Page 17: Peta Kendali Variabel

R- Chart

0951.037.57.24 RD

0037.03 RD

Page 18: Peta Kendali Variabel

Range Example

0

0.02

0.04

0.06

0.08

0.1

0.12

0 2 4 6 8 10 12 14 16

Sample Number

ran

ge

(cm

) Upper Control Limit

Center Line

Lower Control Limit

Sample Range

Page 19: Peta Kendali Variabel

Contoh

No Hasil Pengukuran Xֿ R

1

2

3

4

5

6

7

8

9

10

20,22,21,23,22

19,18,22,20,20

25,18,20,17,22

20,21,22,21,21

19,24,23,22,20

22,20,18,18,19

18,20,19,18,20

20,18,23,20,21

21,20,24,23,22

21,19,20,20,20

Jumlah/Rata-rata

Page 20: Peta Kendali Variabel

n =

A2 =

D4 =

D3 =

• GT =

• BKA =

• BKB =

Page 21: Peta Kendali Variabel

n = 5

A2 = 0,577

D4 = 2,115

D3 = 0

• GT =

• BKA =

• BKB =

Page 22: Peta Kendali Variabel

No X1 X2 X3 X4 X5 X6 X7 X¯ R

1

2

3

4

5

6

7

8

9

10

6

11

9

12

16

10

15

12

16

7

9

7

6

11

10

4

16

14

9

13

10

8

13

10

8

9

10

16

13

10

15

10

9

10

9

7

13

6

15

12

10

5

10

7

8

8

13

11

4

8

7

5

12

9

7

6

13

11

10

Jumlah/Rata-rata

Page 23: Peta Kendali Variabel

• X¯(rata-rata) = ni (Xi)/ni

• R¯ = ni (Ri)/ni

• BP-X¯ = X¯rata-rata ± A2.R¯

• BPA-R = R¯D4

• BPB-R = R¯D3

Page 24: Peta Kendali Variabel

No X¯ BPA BPB R BPA BPB

1

2

3

4

5

6

7

8

9

10

8,57

8,17

13,25

10,00

13,25

13,74

15,65

13,25

6,75

6,26

4,35

6,75

11

6

7

6

14,91

15,53

17,69

14,91

0,59

0

0

0.59

Page 25: Peta Kendali Variabel

• Xֿ(rata-rata) = GT peta kendali X = 7(8,57) +6(8,17)+…+4(13,25)+7(10) 7+6+7+……+4+7 = • Rֿ = GT peta kendali R =7(11)+6(6)+7(7)…+4(7)+7(6) 7+6+7+…+4+7 = Ada 10 macam BATAS KENDALI