Statistical Process Control and Data Analytics - Oakland, John

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Résumé :

Preface

Part 1 Process understanding

1 Quality, processes and control

Objectives

1.1 The basic concepts

1.2 Design, conformance and costs

1.3 Quality, processes, systems, teams, tools and SPC

1.4 Some basic tools

1.5 SPC, 'big data' and data analytics

Chapter highlights

References and further reading

2 Understanding the process

Objectives

2.1 Improving customer satisfaction through process management

2.2 Information about the process

2.3 Process mapping and flowcharting

2.4 Process analysis

2.5 Statistical process control and process understanding

Chapter highlights

References and further reading

3 Process data collection and presentation

Objectives

3.1 The systematic approach

3.2 Data collection

3.3 Bar charts and histograms

3.4 Graphs, run charts and other pictures

3.5 Data quality and sharing

3.6 Conclusions

Chapter highlights

References and further reading

Part 2 Process variability

4 Variation - understanding and decision making

Objectives

4.1 How some managers look at data

4.2 Interpretation of data

4.3 Causes of variation

4.4 Accuracy and precision

4.5 Variation and management

Chapter highlights

References and further reading

5 Variables and process variation

Objectives

5.1 Measures of accuracy or centering

5.2 Measures of precision or spread

5.3 The normal distribution

5.4 Sampling and averages

Chapter highlights

Worked examples using the normal distribution

References and further reading

Part 3 Process control

6 Process control using variables

Objectives

6.1 Means, ranges and charts

6.2 Are we in control?

6.3 Do we continue to be in control?

6.4 Choice of sample size and frequency and control limits

6.5 Short-, medium- and long-term variation

6.6 Process control of variables in the world of big data

Chapter highlights

Worked examples

References and further reading

7 Other types of control charts for variables

Objectives

7.1 Beyond the mean and range chart

7.2 Process control for individual data

7.3 Median, mid-range and multi-vari charts

7.4 Moving mean, moving range and exponentially weighted moving average (EWMA) charts

7.5 Control charts for standard deviation (?)

7.6 Techniques for short-run SPC

7.7 Summarizing control charts for variables and big data

Chapter highlights

Worked example

References and further reading

8 Process control by attributes

Objectives

8.1 Underlying concepts

8.2 Process control for number of defectives or non-conforming units

8.3 Process control for proportion defective or non-conforming units

8.4 Process control for number of defects/non-conformities

8.5 Attribute data in non-manufacturing

Chapter highlights

Worked examples

References and further reading

9 Cumulative sum (cusum) charts

Objectives

9.1 Introduction to cusum charts

9.2 Interpretation of simple cusum charts

9.3 Product screening and pre-selection

9.4 Cusum decision procedures

Chapter highlights

Worked examples

References and further reading

Part 4 Process capability

10 Process capability for variables and its measurement

Objectives

10.1 Will it meet...

Biographie:
Emeritus Professor of Quality & Business Excellence at Leeds University Business School...

Sommaire:
Executive Chairman, Oakland Group...