Introduction to Quality Engineering: Designing Quality Into Products and ProcessesFrom the Back Cover: Introduction to Quality Engineering is the first book with specific in-depth methods that places the responsibility of quality on everyone associated with the marketing, engineering and manufacturing of a product, and turns them all into Quality Control specialists. The book quantifies the loss due to lack of quality of a performance characteristic by directly relating it to its deviation from target performance, and shows efficient experimental and analytical techniques to minimize it. Unlike other books on quality and industrial experimentation which treat the subject speciality in a localized manner, this book encompasses all major activities of an industry, and links them together with a common objective of reducing quality loss. Chapters of the book progress smoothly and build upon the previous chapters. Each chapter introduces the subject matter, then a real life case study follows and ends with question and answer session between Dr. Taguchi and the student in a typical class. The techniques shown are powerful but easy to apply, and does not require statistical background or any other prerequisites; thus, the subject can be taught to engineers in an industry or in engineering schools. |
Contents
VARIABILITY LOSS AND TOLERANCE | 13 |
DETERMINING TOLERANCES | 41 |
TOLERANCE DESIGN AND EXPERIMENTAL | 57 |
Copyright | |
8 other sections not shown
Other editions - View all
Common terms and phrases
A₁ Accordingly analysis of variance approximation B₁ calculated CALIFORNIA chapter characteristic value coefficient columns components consumer tolerance controllable factors decibel value defective deterioration determined dimension due to variability engineering equation error factors error variance estimate example experiment experimental design external noise factor effect formula galvanometer given higher-level characteristic inspection interactions Japanese Standards Association kilohm km/h Layout linear effect loss function lower-level characteristic main effects manufacturer measurement error method nominal value objective characteristic on-line quality control optimum conditions ORNIA orthogonal array orthogonal polynomials outer array output voltage pane of glass parallel geometry parameter design power circuit process capability production process quality problems reduce resistance resistor reworked S/N ratio SAN DIEGO shirt signal factor SITY smaller-is-better characteristic specification limits standard deviation steerability system design target value three levels tolerance design tolerance range Total unit UNIVE UNIVERSITY LIBRARY variation varies wear