Fundamentals of quality control and improvement / Amitava Mitra.

By: Mitra, AmitavaMaterial type: TextTextPublisher: Hoboken, N.J. : Wiley, c2008Edition: 3rd edDescription: xxii, 700 p. : ill. ; 26 cmISBN: 9780470226537 (cloth)Subject(s): Quality control -- Statistical methodsDDC classification: 658.4013 | 658.4013 LOC classification: TS156 | .M54 2008Other classification: 85.12 Online resources: Publisher description | Contributor biographical information | Table of contents only
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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Item type Current location Home library Shelving location Call number Status Date due Barcode Item holds
Book Book School of Mechanical & Manufacturing Engineering (SMME)
School of Mechanical & Manufacturing Engineering (SMME)
General Stacks 658.4013 MIT (Browse shelf) Available SMME-81
Total holds: 0

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.

Hard Cover

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