Guide to Quality Control Dr. Kaoru Ishikawa

Some other titles published by the Asian Productivity Organization and available in North America, the United Kingdom and Western Europe exclusively from Quality Resources
Company-Wide Total Quality Control

Cross-Functional Management: Principles and Practical Applications
Economic Engineering for Executives: A Common-Sense Approach to Business Decisions
Human Resource Development in Japanese Companies
Introduction To Quality Engineering: Designing Quality into Products and Processes
Japan's Quality Control Circles
The Japanese Firm in Transition
Japanese Management: A Forward-Looking Analysis
Japanese Management Overseas: Experiences in the United States and Thailand
Japanese-Style Management: Its Foundations and Prospects
Management by Objectives: A Japanese Experience
Metrological Control. Industrial Measurement Management
100 Management Charts
Organizing for Higher Productivity: An Analysis of Japanese Systems and Practices
Profitability Analysis: Japanese Approach
Quality Control Circles at Work
Reliability Guidebook
The 5S's: Five Keys to a Total Quality Environment
TPM-Total Productive Maintenance
TQCandTPM
Designed and Printed in Hong Kong by Nordica international limited for Asian productivity organization
4-14, Akasaka 8-chome
Minato-Ku, Tokyo 107, Japan
©Asian Productivity Organization, 1982 ISBN 92-833-1035-7 (Casebound) ISBN 92-833-1036-5 (Limpbound)
Gemba No QC Shuho (in Japanese) by K. Ishikawa (ed.)
Copyright 1968 by JUSE Press Ltd., Tokyo Translated into English by the Asian Productivity Organization
First Published 1971
First Revised Edition 1976
Second Revised Edition 1982
Second Revised Edition, edited for clarity, 1986
Eleventh printing 1993

Contents

Preface to the Second English edition
Preface to the original edition
How to use this book

Chapter 1 How to collect data
1.1. The purpose of collecting data
1.2. Correct data
1.3. Kind of data
1.4. Analysis of data
1.5. Reminders for collecfiilg data

Chapter 2 Histograms
2.1. Data have dispersion
2.2. How to prepare a histogram
2.3. How to use a histogram

Chapter 3 Cause-and-effect diagram (CE diagram)
3.1. Why does quality dispersion occur?
3.2. Making cause-and-effect diagrams (general steps)
3.3. Types of cause-and-effect diagrams
3.4. How to use a cause-and-effect diagram
3.5. The development of cause-and-effect diagrams andthe future

Chapter 4 Check sheets
4.1. Quality control and check sheets
4.2. Function of check sheets
4.3. Check sheets for production process distribution
4.4. Defective item checks
4.5. Defect location check sheet
4.6. Defective cause check sheet
4.7. Check-up confirmation check sheet
4.8. Other check sheets

Chapter 5 Pareto diagrams
5.1. What is a Pareto diagram?
5.2. How to make a Pareto diagram
5.3. How to use a Pareto diagram
5.4. Try to have the vertical axis represent amounts of money

Chapter 6 Graphs
6.1. What is a graph?
6.2. Various graphs
6.3. Examples of use of graphs
6.4. From graphs to statistical control method

Chapter 7 Control charts I
7.1. What is a control chart?
7.2. Types of control charts
7.3. Making the x-R control chart

Chapter 8 Control charts II
8.1. Point movements on x-R control charts
8.2. How to read control charts
8.3. How to draw p and pn control charts
8.4. How to make u charts and c charts
8.5. How to use control charts

Chapter 9 Scatter diagrams
9.1. Relationship between cause and effect
9.2. What is a scatter diagram?
9.3. How to make a scatter diagram
9.4. Reading scatter diagrams
9.5. Testing correlation with scatter diagrams
9.6. Care in using scatter diagrams

Chapter 10 Binomial probability paper
10.1. Purpose of a binomial probability paper
10 2 Structure of a binomial probability paper
10.3. The test for population fraction defective
10.4. Comparing two groups of paired corresponding data
10 5 Test for correlation
10.6. 2 x 2 contingency tables
10.7. 2 x m contingency tables

Chapter 11 Sampling
11.1. What is sampling?
11.2. Statistical thinking and sampling
11.3. Random sampling
11.4. Sampling error
11.5. Types of sampling

Chapter 12 Sampling inspection
12.1. What is sampling inspection?
12.2. Problems of total inspection
12.3. Situations where inspection by sampling is necessary
12.4. Lot quality
12.5. OC (operating characteristics) curves and acceptance sampling
12.6. Supplementary remarks

Chapter 13 Practice problems
13.1. How to collect data 13.2 Histograms
13.3. Cause-and-effect diagrams
13.4. Check sheets
13.5. Pareto diagrams
13.6. Graphs
13.7. Control charts I
13.8. Control charts II
13.9. Scatter diagrams
13.10. Binomial probability papers
13.11. Sampling
13.12. Sampling inspection

Appendices
Appendix I: Sign Test Table
Appendix II: ? and R scales for binominal probability papers

Bibliography

Index