USING STATISTICS IN INDUSTRY Quality Improvement Through Total process Control

• Other Authors: Betteley, Gordon
• Format: Book
• Language: English
• Published: New York Prentice Hall 1994
• Series: The manufacturing practitioner series
• Subjects: Process control > Statistical methods; Quality control > Statistical methods
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xii, 361 pages illustrations 24 cm
• Bibliography: Includes bibliographical references (p. 330-331) and index
• ISBN: 0134578627

For many years the need to bridge the gap between theoretical and practical technology has been recognised, but it is only recently that universities and industrial companies have collaborated successfully to relate learning to the ongoing practical needs of industry. Using Statistics in Industry is an ideal workplace reference for anyone who needs to improve their understanding of the use of statistics in process control. Using practical examples the authors explain and illustrate all the basic statistical techniques and, since much of the material is derived from courses jointly developed by Warwick University and household name industrial firms such as Rover Group, Rolls-Royce, British Airways and Lucas, the authors have ensured that content and coverage is proven to be relevant and presented in an easily accessible style. Contents include data presentation, probability and probability distributions, estimation, significance testing, process control, and control charts. Using Statistics in Industry provides an invaluable resource for production and technical support staff working in quality management, and section leaders and cell managers responsible for ensuring that processes are under control. It may be read as a whole or used as a reference as the need arises. No previous knowledge of statistics is assumed or required but references to further reading are included in every chapter. Equally it can be used on first and second year Industrial Statistics and Quality Control courses and first year Applied Statistics courses.