Description: I. SETTING THE STAGE FOR UNDERSTANDING THE SCIENCE OF TOLERANCING. 1. Introduction to Tolerancing and Tolerance Design. The Historical Roots of Tolerancing. The State of the Art in Tolerancing Techniques. Developing Tolerances: The Role of Engineers and Designers. Concepts, Definitions, and Relationships. Matching Design Tolerances with Appropriate Manufacturing Processes. Introduction to the Taguchi Approach to Tolerance Analysis. Summary. References. 2. The Relationship of Quality Engineering and Tolerancing to Reliability Growth. The Three Initial Phases of Product Development. The Reliability Bathtub Curve and Tolerancing. Summary. References. 3. Introductory Statistics and Data Analysis for Tolerancing and Tolerance Design. The Role of Data in Tolerance Analysis. Graphical Methods of Data Analysis. Introduction to the Fundamentals of Descriptive Statistics. The Use of Distributions. Introduction to the Fundamentals of Inferential Statistics. Manufacturing Process Capability Metrics. Six Sigma Process Metrics. The Relationship between the Quality-Loss Function, Cp and Cpk. Summary. References. II. TRADITIONAL TOLERANCE ANALYSIS. 4. Using Standard Tolerance Publications and Manufacturer's Process Capability Recommendations. Starting the Tolerance Design Process. The Three Sigma Paradigm. Processes for Establishing Initial Tolerances. Establishing Process Capability and Process Control for Identifying Initial Tolerances. Summary. References. 5. Linear and Nonlinear Worst-Case Tolerance Analysis. Standard Worst-Case Methods. Summary. References. 6. Linear and Nonlinear Statistical Tolerance Analysis. The Root Sum of Squares (RSS) Approach. Motorola's Dynamic Root Sum of Squares Approach. Motorola's Static Root Sum of Squares Approach. The Nonlinear RSS Case Method. Process Diagrams for the Statistical Methods of Tolerance Stackup Analysis. The Nonlinear RSS Example. Summary. References. 7. Sensitivity Analysis and Related Topics. The Various Approaches to Performing Sensitivity Analysis. Using Sensitivity Analysis in Concept Design. An Example of the Use of Sensitivity Analysis in Concept Development. Summary. References. 8. Computer Aided Tolerancing Techniques. Various Software and Platform Options to Support CAT Analysis. Monte Carlo Simulations in Tolerance Analysis. Characterizing Probability Distributions for Tolerance Analysis Applications. Sensitivity Analysis Using Crystal Ball. How to Use Crystal Ball. Running the Monte Carlo Simulation. Preparing Engineering Analysis Reports. Another Computer-Aided Tolerance Approach. Summary. References. 9. Introduction to Cost-Based Optimal Tolerancing Analysis. Skills Required for Cost-Based Optimal Tolerancing Analysis. The Various Approaches to Cost-Based Optimal Tolerancing Analysis. Summary. References. 10. Strengths and Weaknesses of the Traditional Tolerance Approaches. Using Standard Tolerance Publications and Manufacturer's Process Capability Recommendations. Worst-Case Tolerance Analysis. The Statistical Methods of Tolerance Analysis. Sensitivity Analysis. Computer-Aided Tolerancing. Cost-Based Optimal Tolerance Analysis. How the Six Processes Relate to the Overall Product Tolerancing Process. Summary. References. III. TAGUCHI'S APPROACH TO TOLERANCING AND TOLERANCE DESIGN. 11. The Quality-Loss Function in Tolerancing and Tolerance Design. Linking Cost and Functional Performance. An Example of the Cost of Quality. The Step Function: An Inadequate Description of Quality. The Customer Tolerance. The Quality-Loss Function: A Better Description of Quality. The Quality-Loss Coefficient. An Example of the Quality-Loss Function. Developing Quality-Loss Functions in a Customer's Envi

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