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Item Details
| Title:
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STATISTICAL QUALITY CONTROL: A LOSS MINIMIZATION APPROACH
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| By: |
Dan Trietsch |
| Format: |
Hardback |
| List price:
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£97.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
9810230311 |
| ISBN 13: |
9789810230319 |
| Publisher: |
WORLD SCIENTIFIC PUBLISHING CO PTE LTD |
| Pub. date: |
15 April, 1999 |
| Series: |
Series On Applied Mathematics 10 |
| Pages: |
404 |
| Description: |
This text discusses the impact of the Taguchi loss function on statistical quality control, and covers such topics as: determining how many points to sample to obtain reliable control charts; and the connection between the process and capability and tolerances. |
| Synopsis: |
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. |
| Publication: |
Singapore |
| Imprint: |
World Scientific Publishing Co Pte Ltd |
| Returns: |
Returnable |
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