MTU Cork Library Catalogue

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Designing for quality : an introduction to the best of Taguchi and Western methods of statistical experimental design / Robert H. Lochner, Joseph E. Matar.

By: Lochner, Robert H.
Contributor(s): Matar, Joseph E.
Material type: materialTypeLabelBookPublisher: London : Chapman and Hall, 1990Description: x, 243 p.ISBN: 0412400200.Subject(s): Engineering -- Experiments | Engineering -- Statistical methods | Taguchi methods (Quality control)DDC classification: 620.1
Contents:
Introduction -- The Taguchi approach to quality -- Two-level experiments: Full factorial designs -- Two-level experiments: Fractional factorial designs -- Evaluating variability -- Taguchi inner and outer arrays -- Experimental designs for factors at three and four levels -- Analysis of variance in engineering design -- Computer software for experimental design -- Using experiments to improve processes.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 620.1 (Browse shelf(Opens below)) 1 Available 00011867
Total holds: 0

Enhanced descriptions from Syndetics:

This book shows engineers with little or no previous exposure to experimental design how to use statistically designed experiments to improve products and processes. A prerequisite is an appreciation for the concept of random variation, gained through a typical statistics course or by using statistical process control in a manufacturing environment. Dr Taguchi has added greatly to our understanding of the importance of properly designed experiments in quality improvement and has provided a structured approach to designing quality into products and processes.

Introduction -- The Taguchi approach to quality -- Two-level experiments: Full factorial designs -- Two-level experiments: Fractional factorial designs -- Evaluating variability -- Taguchi inner and outer arrays -- Experimental designs for factors at three and four levels -- Analysis of variance in engineering design -- Computer software for experimental design -- Using experiments to improve processes.

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