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BS ISO 7870-4:2011:2012 Edition

BS ISO 7870-4:2011:2012 Edition

$215.11

Control charts – Cumulative sum charts

Published By Publication Date Number of Pages
BSI 2012 74
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PDF Catalog

PDF Pages PDF Title
9 Scope
Normative references
Terms and definitions, abbreviated terms and symbols
Terms and definitions
10 Abbreviated terms
11 Symbols
12 Principal features of cumulative sum (cusum) charts
13 Basic steps in the construction of cusum charts — Graphical
Example of a cusum plot — Motor voltages
The process
14 Simple plot of results
15 Standard control chart for individual results
Cusum chart — Overall perspective
16 Cusum chart construction
17 Cusum chart interpretation
Introduction
The basics of interpretation of a cusum chart using “imagina
19 Interpretation using “actual” data
20 Manhattan diagram
Fundamentals of making cusum-based decisions
The need for decision rules
21 The basis for making decisions
22 Measuring the effectiveness of a decision rule
Basic concepts
Example of the calculation of ARL
24 Types of cusum decision schemes
V˚mask types
Truncated V˚mask
Configuration and dimensions
25 Application of the truncated V˚mask
27 Average run lengths
29 General comments on average run lengths
30 Alternative design approaches
31 Semi-parabolic V˚mask
32 Snub-nosed V˚mask
Full V˚mask
33 Fast initial response (FIR) cusum
Tabular cusum
Rationale
34 Tabular cusum method
35 Cusum methods for process and quality control
The nature of the changes to be detected
The size of change to be detected
36 “Step” changes
Drifting
Cyclic
Hunting
Selecting target values
General
Standard (given) value as target
37 Performance˚based target
Cusum schemes for monitoring location
Standard schemes
46 Standard schemes — Limitations
“Tailored” cusum schemes
47 Cusum schemes for monitoring variation
General
Cusum schemes for subgroup ranges
52 Cusum schemes for subgroup standard deviations
55 Special situations
Large between-subgroup variation
“One-at-a-time” data
56 Serial dependence between observations
57 Outliers
Cusum schemes for discrete data
Event count — Poisson data
General
58 General cusum decision rules for discrete data
Cusum schemes for count data
59 Two classes data — binomial data
General
62 Situation 1: Tp ( 0,1 — Poisson-based
63 Situation 2: Tm ( 20 — Normal-based s

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BS ISO 7870-4:2011
$215.11