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Fundamentals of quality control and improvement / Amitava Mitra.

By: Material type: TextTextPublication details: Hoboken, N.J : Wiley, 2008.Edition: 3rd edDescription: xxii, 700 p. : ill. ; 26 cmISBN:
  • 9780470226537 (cloth)
  • 0470226536 (cloth)
Subject(s): DDC classification:
  • 658.4/013 22
  • 658.5/62/015195
LOC classification:
  • TS 156 .M54 2008
Other classification:
  • 85.12
Online resources:
Contents:
Philosophy and fundamentals -- Introduction to quality control and total quality system -- Some philosophies and their impact on quality -- Quality management : practices, tools, and standards -- Statistical foundations and methods of quality improvement -- Fundamentals of statistical concepts and techniques in quality control and improvement -- Data analyses and sampling -- Statistical process control -- Statistical process control using control charts -- Control charts for variables -- Control charts for attributes -- Process capability analysis -- Acceptance sampling -- Acceptance sampling plans for attributes and variables -- Product and process design -- Reliability -- Experimental design and the Taguchi method.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Education Library Collection General Collection Non-fiction TS 156 .M54 2008 (Browse shelf(Opens below)) 1-1 Not For Loan 3854

Includes bibliographical references and index.

Philosophy and fundamentals -- Introduction to quality control and total quality system -- Some philosophies and their impact on quality -- Quality management : practices, tools, and standards -- Statistical foundations and methods of quality improvement -- Fundamentals of statistical concepts and techniques in quality control and improvement -- Data analyses and sampling -- Statistical process control -- Statistical process control using control charts -- Control charts for variables -- Control charts for attributes -- Process capability analysis -- Acceptance sampling -- Acceptance sampling plans for attributes and variables -- Product and process design -- Reliability -- Experimental design and the Taguchi method.

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