BS ISO 7870-5:2014
$198.66
Control charts – Specialized control charts
Published By | Publication Date | Number of Pages |
BSI | 2014 | 62 |
This part of ISO 7870 establishes a guide to the use and understanding of specialized control charts in situations where commonly used Shewhart control chart approach to the methods of statistical control of a process may either be not applicable or less efficient in detecting unnatural patterns of variation of the process.
The specialized control charts included in this part of ISO 7870 for variables data are:
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moving average and moving range charts;
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z-charts;
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group control charts;
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high–low control charts;
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trend control charts;
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control charts for coefficient of variation;
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control charts for non-normal data.
For attributes data, specialized control charts included in this part of ISO 7870 are:
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standardized p-charts;
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demerit control charts;
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control charts for inspection by gauging.
This part of ISO 7870 also provides guidance as to when each of the above control charts should be used, their control limits, advantages and limitations. Each control chart is illustrated with an example.
PDF Catalog
PDF Pages | PDF Title |
---|---|
6 | Foreword |
7 | Introduction |
9 | Section sec_1 Section sec_2 Section sec_3 1 Scope 2 Normative references 3 Terms and definitions |
10 | Section sec_3.1 Section sec_3.2 Section sec_3.3 Section sec_3.4 Section sec_3.5 Section sec_3.6 Section sec_3.7 |
11 | Section sec_3.8 Section sec_3.9 Section sec_3.10 Section sec_3.11 Section sec_3.12 Section sec_3.13 Section sec_3.14 Section sec_3.15 Section sec_3.16 |
12 | Section sec_3.17 Section sec_3.18 Section sec_4 Section sec_4.1 4 Symbols and abbreviated terms 4.1 Symbols |
13 | Section sec_4.2 Section sec_5 Section sec_6 4.2 Abbreviated terms 5 Specialized control charts 6 Moving average and moving range control charts |
14 | Section sec_6.1 Section sec_6.1.1 Section sec_6.1.2 Section sec_6.2 Section sec_6.3 Section sec_6.4 Section sec_6.5 6.1 Control limits 6.2 Interpretation 6.3 Advantages 6.4 Limitations 6.5 Example |
15 | Table tab_1 Section sec_6.5.1 |
16 | Section sec_6.5.2 |
17 | Figure fig_1 Section sec_6.5.3 Section sec_7 Section sec_7.1 7 z- chart 7.1 Control limits |
18 | Section sec_7.2 Section sec_7.3 Section sec_7.4 Section sec_8 Table tab_2 7.2 Advantages 7.3 Limitations 7.4 Example 8 Group control chart |
20 | Figure fig_2 Section sec_8.1 Section sec_8.1.1 Section sec_8.1.2 Section sec_8.2 8.1 Control limits 8.2 Advantages |
21 | Section sec_8.3 Section sec_8.4 Section sec_8.4.1 Section sec_8.4.2 8.3 Limitations 8.4 Example |
22 | Table tab_3 |
23 | Section sec_8.4.3 |
24 | Figure fig_3 Section sec_9 Section sec_9.1 Section sec_9.1.1 9 High-low control chart 9.1 Control limits |
25 | Section sec_9.1.2 Section sec_9.2 Section sec_9.3 Section sec_9.4 Section sec_9.5 9.2 Interpretation 9.3 Advantages 9.4 Limitations 9.5 Example |
26 | Table tab_4 |
27 | Section sec_9.5.1 Section sec_10 Figure fig_4 10 Trend control chart |
28 | Section sec_10.1 Section sec_10.1.1 Section sec_10.1.2 Section sec_10.2 10.1 Control limits 10.2 Advantages |
29 | Section sec_10.3 Section sec_10.4 Section sec_10.4.1 Section sec_10.4.2 10.3 Limitations 10.4 Example |
30 | Table tab_5 |
31 | Figure fig_5 Section sec_10.4.3 |
32 | Section sec_11 Section sec_11.1 Section sec_11.1.1 Section sec_11.1.2 Section sec_11.2 Section sec_11.3 11 Control chart for coefficient of variation 11.1 Control limits 11.2 Advantage 11.3 Limitation |
33 | Section sec_11.4 Table tab_6 11.4 Example |
34 | Section sec_11.4.1 Figure fig_6 Section sec_11.4.2 Section sec_12 12 Control chart for non-normal data |
35 | Section sec_12.1 Section sec_12.1.1 Section sec_12.1.2 Section sec_12.1.3 Section sec_12.1.3.1 Section sec_12.1.3.2 12.1 Control limits |
36 | Section sec_12.1.3.3 Section sec_12.2 Table tab_7 12.2 Example |
37 | Section sec_12.2.1 Section sec_12.2.1.1 Section sec_12.2.1.2 |
38 | Figure fig_7 Section sec_12.2.2 |
39 | Section sec_12.2.3 Section sec_12.2.4 Section sec_12.2.4.1 |
40 | Table tab_8 Section sec_12.2.4.2 Section sec_13 13 Standardized p- chart |
41 | Figure fig_8 |
42 | Section sec_13.1 Section sec_13.2 Section sec_13.3 Table tab_9 13.1 Control limits 13.2 Advantages and limitations 13.3 Example |
43 | Figure fig_9 Section sec_13.3.1 |
44 | Section sec_14 Section sec_14.1 Section sec_14.2 14 Demerit control chart 14.1 Criteria for selection of demerit weights 14.2 Example of assigning demerit weights for fabrics |
45 | Section sec_14.3 14.3 Control limits |
46 | Section sec_14.4 Section sec_14.5 Section sec_14.6 14.4 Interpretation 14.5 Advantages 14.6 Limitations |
47 | Section sec_14.7 14.7 Example |
48 | Table tab_10 |
49 | Figure fig_10 Section sec_14.7.1 Section sec_15 15 Control chart for inspection by gauging |
50 | Section sec_15.1 Section sec_15.2 Section sec_15.2.1 Section sec_15.2.2 Section sec_15.2.3 15.1 Lower and upper gauge limits 15.2 Preliminary steps |
51 | Section sec_15.3 Section sec_15.3.1 Section sec_15.3.2 Table tab_11 Section sec_15.4 Section sec_15.5 15.3 Gauge limits and control limits 15.4 Plotting 15.5 Interpretation |
52 | Section sec_15.5.1 Section sec_15.5.2 Section sec_15.5.3 Section sec_15.5.4 Section sec_15.6 Section sec_15.7 Section sec_15.8 15.6 Advantages 15.7 Limitations 15.8 Estimation of process average and process variation |
53 | Section sec_15.9 15.9 Example |
54 | Table tab_12 Figure fig_11 |
55 | Section sec_15.9.1 |
56 | Annex sec_A Annex A (informative) Factors for computing control limits |
57 | Table tab_A.1 |
59 | Reference ref_1 Reference ref_2 Reference ref_3 Reference ref_4 Reference ref_5 Reference ref_6 Reference ref_7 Reference ref_8 Bibliography |