Record Display for the EPA National Library CatalogRECORD NUMBER: 1 OF 8
|Main Title||Introduction to quality engineering : designing quality into products and processes /|
|Author||Taguchi, Gen'ichi, ; Taguchi, Gen ichi|
|ISBN||9283310845; 9789283310846; 9283310837; 9789283310839|
|Subjects||Quality control ; Engineering design ; Statistische Qualitätskontrolle ; Versuchsplanung ; Kwaliteitszorg ; Ingenier ia de dise no|
|Collation||vi, 191 pages : illustrations ; 23 cm|
Translation of Sekkeisha no tame no hinshitsu kanri. Cf. title page verso. Includes bibliographical references (page 175) and index.
Preface -- Symbols -- Chapter 1: Variety And Quality -- Functional variability and quality problems -- Variety problems and quality problems -- Problems -- Discussion -- Chapter 2: Variability Loss And Tolerance -- Ready-to-wear clothing and the size problem -- Tolerance and interval -- Determining the neck size interval -- Functional limits and tolerances -- Loss function -- Inadequate process capability -- Destructive inspection -- Quality assessment and inspection -- Problems -- Discussion -- Chapter 3: Determining Tolerances -- Higher- and lower-level characteristics -- Hardness and thickness of steel sheet -- Deterioration characteristics -- Tolerances for deterioration characteristics -- When measurement and adjustment are impossible -- Problems -- Discussion -- Chapter 4: Tolerance Design And Experimental Design -- Linear and quadratic coefficients -- Expansion by orthogonal polynominals -- Simple example of a two-way layout -- Analysis of variance -- Tolerance design -- Problem -- Discussion. Chapter 5: Off-Line And On-Line Quality Control -- Variability due to error factors, and countermeasures -- Off-line quality control (quality engineering) -- Design of production processes -- Tile experiment -- On-line quality control -- Roles of off-line and on-line quality control -- Problems -- Discussion -- Chapter 6: Parameter Design And Tolerance Design: Case Study -- Setting parameter levels -- Parameter design of Wheatstone Bridge -- Layout and signal to-noise ratio -- S/N analysis -- Tolerance design -- Summary of quality design -- Problem -- Discussion -- Chapter 7: Experimental Design For Smaller-Is-Better Characteristics -- Smaller-is-better characteristics and the loss function -- S/N ratio of smaller-is-better characteristic -- Quality and data -- Design of an experiment on wear -- Calculation of S/N ratio and analysis of variance -- Estimate of significant factors and conclusion -- Problem -- Discussion -- Chapter 8: Experimental Design For Larger-Is-Better Characteristics -- Larger-is-better characteristic -- Loss function of a larger-is-better characteristic -- Sample calculation -- Experiment on bonding strength of plastic product, and S/N ratio -- Analysis of variance -- Estimation of factorial effects -- Determination of optimum conditions and process average -- Problem -- Discussion -- Chapter 9: By-Passing The S/N Ratio: Spring Experiment -- Life test -- Clutch spring life test: analysis of variance -- Clutch spring life test: estimation -- Problem -- Discussion -- Chapter 10: Experimental Design For Dynamic Characteristics -- Dynamic characteristics -- Experiment on truck steer ability -- Calculation of S/N ratio -- Analysis of S/N ratio -- Problem -- Discussion -- References -- Appendices -- Index. From 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 specialty 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.