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Item Details
Title: STATISTICAL PROCESS CONTROL FOR REAL-WORLD APPLICATIONS
By: William A. Levinson
Format: Hardback

List price: £96.99
Our price: £87.29
Discount:
10% off
You save: £9.70
ISBN 10: 1439820007
ISBN 13: 9781439820001
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: TAYLOR & FRANCIS INC
Pub. date: 21 December, 2010
Pages: 272
Description: Equips readers to deal with non-normal applications scientifically and to explain the methodology to suppliers and customers. This book shows how to handle uncooperative real-world processes that do not follow textbook assumptions. It explains how to set control limits and calculate process capability indices for non-normal applications.
Synopsis: The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and customers. The book exposes the pitfalls of assuming normality for all processes, describes how to test the normality assumption, and illustrates when non-normal distributions are likely to apply. It demonstrates how to handle uncooperative real-world processes that do not follow textbook assumptions. The text explains how to set realistic control limits and calculate meaningful process capability indices for non-normal applications. The book also addresses multivariate systems, nested variation sources, and process performance indices for non-normal distributions. The book includes examples from Minitab(R), StatGraphics(R) Centurion, and MathCAD and covers how to use spreadsheets to give workers a visual signal when an out of control condition is present.The included user disk provides Visual Basic for Applications functions to make tasks such as distribution fitting and tests for goodness of fit as routine as possible. The book shows you how to set up meaningful control charts and report process performance indices that actually reflect the process' ability to deliver quality.
Illustrations: 136 black & white illustrations, 36 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
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