## Quality Engineering : Off-Line Methods and Applications

By (author) Su, Chao-Ton

Quality is an essential determinant for achieving overall business success. Quality Engineering: Off-Line Methods and Applications discusses the use of quality engineering methods and other modern techniques to ensure design optimization in the product and process design stages for a company. Starting with the basics, this book presents an overall picture of quality engineering. It helps readers understand quality engineering methods such as DOE, Taguchi, RSM, and computational intelligence approaches. It also provides extensive examples and case studies, without extensive mathematical treatments, making it accessible to a broad audience.

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[目次]

• Introduction Quality Robust Design Quality Engineering Structure of This Book Exercises Fundamentals of Experimental Design Basic Principle Factorial Experiments Two-Level Full Factorial Design Two-Level Fractional Factorial Design Three-Level Factorial Design Steps of a DOE Project Exercises Principles of Quality Engineering Taguchi's Perspectives Noise Factors Relationship between Quality Characteristics and Parameters Classification of Parameters Three Phases of Quality Engineering Two-Step Optimization Procedure Exercises Utilization of Orthogonal Arrays Introduction of Orthogonal Arrays The Use of Orthogonal Arrays Interaction Linear Graphs Orthogonal Arrays and Fractional Factorial Designs Special Techniques for Modifying Orthogonal Arrays Summary Exercises Quality Loss Function and Static Signal-to-Noise Ratios The Concept of Quality Loss Taguchi's Quality Loss The Types of Quality Loss Functions The Signal-to-Noise Ratio Signal-to-Noise Ratios for Static Problems Exercises Parameter Design for Static Characteristics The Experiment Setup of Parameter Design The Procedures of Static Parameter Design Data Analysis of the Parameter Optimization Experiment The Issue of Interactions Examples of Parameter Design with Static Characteristics Case Studies of Parameter Design with Static Characteristics The Operating Window Computer-Aided Parameter Design Analysis of Discrete Data Exercises Parameter Design for Dynamic Characteristics Introduction Basic SN Ratios for Dynamic Problems The Procedures of Dynamic Parameter Design Examples of Parameter Design with Dynamic Characteristics Case Studies of Parameter Design with Dynamic Characteristics Other Types of Dynamic Problems Exercises Implementing Parameter Design Analysis in the Planning Stage Selection of Quality Characteristic Selection of Noise and Control Factors Differences between Taguchi Methods and the Classical Experimental Design Exercises Tolerance Design The Concepts of Tolerance Design The Procedures of Tolerance Design Exercises Mahalanobis-Taguchi System Mahalanobis Distance Feature Selection Mahalanobis-Taguchi System Case Study: RF Inspection Process Case Study: Pressure Ulcers Development Exercises Response Surface Methodology Introduction to Response Surface Methodology Response Surfaces Designs Fitting Models Multi-Objective Optimization Response Surface Approach for Process Robustness Case Study: Improvement of the Fracture Resistance of Medium/Small-Sized TFT-LCD Case Study: Optimization of the Performance of Inter-Metal Dielectric Process Exercises Parameter Design Using Computational Intelligence Introduction Neural Networks Genetic Algorithms Parameter Design Using Computational Intelligence Case Studies Exercises Appendix References Glossary Index

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書名 Quality Engineering : Off-Line Methods and Applications Su, Chao-Ton Off-Line Methods and Applications Taylor & Francis Inc 2013.03.05 394p 9781466569485 英語 アメリカ合衆国
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