Statistical quality control: a loss minimization approach
Ch. 1. Introduction to Shewhart control charts. 1.1. What is "statistical control" and what is it good for? 1.2. Types of control charts. 1.3. The role of control charts in improvement projects. 1.4. Establishing control limits. 1.5. Ways and means to abuse control charts -- ch. 2. On measurement. 2.1. Measurements that are relevant. 2.2. Defining measurements operationally. 2.3. Accuracy and precision. 2.4. Cost-effectiveness in measurement. 2.5. Conclusion. Supplement 2. More on precision and…
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- Full title :Statistical quality control : a loss minimization approach / Dan Trietsch
Summary
Ch. 1. Introduction to Shewhart control charts. 1.1. What is "statistical control" and what is it good for? 1.2. Types of control charts. 1.3. The role of control charts in improvement projects. 1.4. Establishing control limits. 1.5. Ways and means to abuse control charts -- ch. 2. On measurement. 2.1. Measurements that are relevant. 2.2. Defining measurements operationally. 2.3. Accuracy and precision. 2.4. Cost-effectiveness in measurement. 2.5. Conclusion. Supplement 2. More on precision and calibration -- ch. 3. Partial measurement of quality by loss functions and production costs. 3.1. Loss functions. 3.2. Production costs as part of measuring quality. 3.3. Taguchi's method to estimate the QLF and set optimal tolerance limits. 3.4. The lack of validity of signal-to-noise ratios. 3.5. Variance reduction and the Pareto principle. Supplement 3. Asymmetrical loss functions -- ch. 4. Adjusting processes without tampering. 4.1. Ways and means to tamper. 4.2. Efficient adjustment methods. 4.3. Setting economical tolerances for processes with drift -- ch. 5. Shewhart control charts for attributes. 5.1. np control charts for a single attribute. 5.2. p control charts for a single attribute with varying subgroup size. 5.3. c control charts for the number of occurrences in a constant area of opportunity. 5.4. u control charts for the number of occurrences in a variable area of opportunity. 5.5. Common errors to avoid. Supplement 5. The relationship between control charts and hypothesis testing -- ch. 6. Control charts for continuous variables. 6.1. Principles common to all Shewhart variable control charts. 6.2. [symbol] and s control charts. 6.3. [symbol] and s[symbol] charts. 6.4. [symbol] and R control charts. 6.5. Control charts for individual data. 6.6. On the power of control charts. 6.7. CUSUM and EWMA control charts. 6.8. Median and range control charts. 6.9. Common errors to avoid. Supplement 6.1. On the efficiency of various dispersion statistics. Supplement 6.2. On the computation of control chart factors. Supplement 6.3. More on the optimal subgroup size in Shewhart control charts -- ch. 7. Pattern tests for Shewhart control charts. 7.1. Tests for assignable causes. 7.2. Computing the rate of false signals (RES). 7.3. Mixtures, cycles, trends, and erratic points. 7.4. Applying the tests to single charts. 7.5. Run-count tests. 7.6. Common errors to avoid. Supplement 7. Basic concepts in time series analysis -- ch. 8. Diffidence analysis of control charts and diffidence charts. 8.1. Sources of diffidence. 8.2. The diffidence of attribute charts. 8.3. Diffidence charts for attributes. 8.4. The diffidence of continuous variable charts. 8.5. Diffidence charts for continuous variables. 8.6. Diffidence and pattern tests. 8.7. Diffidence and inaction are not identical -- ch. 9. Inspection theory. 9.1. Sampling versus Deming's kp rule. 9.2. General inspection issues. 9.3. More on the kp rule. 9.4. When sampling is not futile. 9.5. Devising single sampling (n, c) plans. 9.6. Sequential sampling plans. 9.7. Average outgoing quality limit (AOQL)
While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv) how to adapt Deming's kp rule to quadratic loss, (v) how to adjust without tampering. We also discuss the efficiency of various statistics and how control chart constants are derived
Edition Statements
- Publication Date:©1999
Publication Statements
- Publisher(s):World Scientific Pub. Co
- Place of Publication:Singapore
- Language:eng
- Publication Date:©1999
The Physical Object
- Description:1 Online-Ressource (xvi, 385 Seiten) : Illustrationen
Edition Identifiers
- ISBN:9810230311, 9789810230319, 9789812796295, 9812796290
- oclc:on1005235992
- LC Classification:TS156
- Dewey Decimal:658.562
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