Machine capability analysis
In the preceding chapters all activities have been thought of in terms of processes, which has opened up avenues of applications of SPC techniques that have little to do with the traditional environment of the control chart — the shop floor in the machine
- PDF / 44,145,455 Bytes
- 369 Pages / 595.276 x 841.89 pts (A4) Page_size
- 30 Downloads / 167 Views
SPC and CONTINUOUS IMPROVEMENT
Mal Owen
Springer-Verlag Berlin Heidelberg GmbH 1989
British Library Cataloguing in Publication Data Owen, M. (Maldwyn), 7936Statistical process control. 1. Industries. Quality control. Statistical methods I. Title
658.5'62 ISBN 978-3-662-22421-2 ISBN 978-3-662-22419-9 (eBook) DOI 10.1007/978-3-662-2241 9-9
© 1989 Springer-Verlag Berlin Heidelberg Originally published by Springer-Verlag Berlin Heidelberg NewYorkTokyo 1989 Softcover reprint of the hardcover 1st edition 1989
This work is protected by copyright. The rights covered by this'are reserved, in particular those of translating, reprinting, radio broadcasting, reproduction by photo-mechanical or similar means as well as the storage and evaluation in data processing installations even if only extracts are used. Should individual copies for commercial purposes be made with written consent of the publisher then a remittance shall be given to the publisher in accordance with §54, Para 2, of the copyright law. The publisher will provide information on the amount of this remittance. Phototypeset by MFK Typesetting Ltd, Herts.
Contents·
1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10
Introduction Introduction What is SPC? SOC: from Shewhart to McArthur The Japanese phenomenon Why go in for SPC? Prevention versus detection Quality as customer satisfaction From SOC to SPC TOC and SPC Quality, productivity and people
1 2 3 5 7 10 12 12 14 15
2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 2.11 2.12
Data collection and representation Introduction Data type Data collection Designing a check sheet Tally charts The histogram The histogram and capability Generating a histogram in practice Simplifying the data Limitations of tolerance-based systems Non-symmetrical patterns Frequency and area
17 17 18 19 20 22 24 26 26 28 32 31
3 3.1 3.2 3.3 3.4 3.5
Problem-solving techniques Introduction The Pareto principle Brainstorming Cause and effect analysis Other techniques
35 35 47 49 55
4 4.1 4.2
Measuring location and variability Introduction Accuracy and precision
59 60
1
17
3
59
4.3 4.4 4.5 4.6 4.7
Measures of location Measures of variability Sample and population Measuring improvement Continuous improvement
62 68 73 74 76
5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9
The normal distribution and sampling Introduction Measuring risk From theory to practice Histogram and probability distribution The normal distribution Continuous improvement Sample and process Comparing sample and population Sampling from a non-normal distribution
79
6 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 6.10 6.11 6.12 6.13
Control charts for variables Introduction Charts for variables Common and special causes Measuring the process The control chart Calculating and plotting The basis of control limits Setting up the charts Rules for special causes On-going control Use of rules for on-going control Alternative control rules Sample size
7. 7.1 7.2 7.3 7.4 7.5 7.6
Capability and control Introduction The histogram The R chart and capability Measuring improvement Contin
