- Cover
- Title Page
- Copyright
- Dedication
- Preface
- About the Companion Website
- Part I: Philosophy and Fundamentals
- Chapter 1: Introduction to Quality Control and the Total Quality System
- 1-1 Introduction and Chapter Objectives
- 1-2 Evolution of Quality Control
- 1-3 Quality
- 1-4 Quality Control
- 1-5 Quality Assurance
- 1-6 Quality Circles and Quality Improvement Teams
- 1-7 Customer Needs and Market Share
- 1-8 Benefits of Quality Control and the Total Quality System
- 1-9 Quality and Reliability
- 1-10 Quality Improvement
- 1-11 Product and Service Costing
- 1-12 Quality Costs
- 1-13 Measuring Quality Costs
- 1-14 Management of Quality
- 1-15 Quality and Productivity
- 1-16 Total Quality Environmental Management
- Summary
- Key Terms
- Exercises
- References
- Chapter 2: Some Philosophies and Their Impact on Quality
- Chapter 3: Quality Management: Practices, Tools, and Standards
- 3-1 Introduction and Chapter Objectives
- 3-2 Management Practices
- 3-3 Quality Function Deployment
- 3-4 Benchmarking and Performance Evaluation
- 3-5 Health Care Analytics
- 3-6 Tools for Continuous Quality Improvement
- 3-7 International Standards ISO 9000 and Other Derivatives
- Summary
- Key Terms
- Exercises
- References
- Chapter 1: Introduction to Quality Control and the Total Quality System
- Part II: Statistical Foundations and Methods of Quality Improvement
- Chapter 4: Fundamentals of Statistical Concepts and Techniques in Quality Control and Improvement
- 4-1 Introduction and chapter objectives
- 4-2 Population and Sample
- 4-3 Parameter and Statistic
- 4-4 Probability
- 4-5 Descriptive Statistics: Describing Product or Process Characteristics
- 4-6 Probability Distributions
- 4-7 Inferential Statistics: Drawing Conclusions on Product and Process Quality
- Summary
- Appendix: Approximations to Some Probability Distributions
- Key Terms
- Exercises
- References
- Chapter 5: Data Analyses and Sampling
- 5-1 Introduction and Chapter Objectives
- 5-2 Empirical Distribution Plots
- 5-3 Randomness of a Sequence
- 5-4 Validating Distributional Assumptions
- 5-5 Transformations to Achieve Normality
- 5-6 Analysis of Count Data
- 5-7 Analyses of Customer Satisfaction Data
- 5-8 Concepts in Sampling
- Summary
- Key Terms
- Exercises
- References
- Chapter 4: Fundamentals of Statistical Concepts and Techniques in Quality Control and Improvement
- Part III: Statistical Process Control
- Chapter 6: Statistical Process Control Using Control Charts
- Chapter 7: Control Charts for Variables
- 7-1 Introduction and Chapter Objectives
- 7-2 Selection of Characteristics for Investigation
- 7-3 Preliminary Decisions
- 7-4 Control Charts for the Mean and Range
- 7-5 Control Charts for the Mean and Standard Deviation
- 7-6 Control Charts for Individual Units
- 7-7 Control Charts for Short Production Runs
- 7-8 Other Control Charts
- 7-9 Risk-Adjusted Control Charts
- 7-10 Multivariate Control Charts
- Summary
- Key Terms
- Exercises
- References
- Chapter 8: Control Charts for Attributes
- 8-1 Introduction and Chapter Objectives
- 8-2 Advantages and Disadvantages of Attribute Charts
- 8-3 Preliminary Decisions
- 8-4 Chart for Proportion Nonconforming: p-Chart
- 8-5 Chart for Number of Nonconforming Items: np-Chart
- 8-6 Chart for Number of Nonconformities: c-Chart
- 8-7 Chart for Number of Nonconformities Per Unit: u-Chart
- 8-8 Chart for Demerits Per Unit: u-Chart
- 8-9 Charts for Highly Conforming Processes
- 8-10 Operating Characteristic Curves for Attribute Control Charts
- Summary
- Key Terms
- Exercises
- References
- Chapter 9: Process Capability Analysis
- 9-1 Introduction and Chapter Objectives
- 9-2 Specification Limits and Control Limits
- 9-3 Process Capability Analysis
- 9-4 Natural Tolerance Limits
- 9-5 Specifications and Process Capability
- 9-6 Process Capability Indices
- 9-7 Process capability analysis procedures
- 9-8 Capability analysis for Nonnormal Distributions
- 9-9 Setting Tolerances on Assemblies and Components
- 9-10 Estimating statistical tolerance limits of a process
- Summary
- Key Terms
- Exercises
- References
- Part IV: Acceptance Sampling
- Chapter 10: Acceptance Sampling Plans for Attributes and Variables
- 10-1 Introduction and Chapter Objectives
- 10-2 Advantages and Disadvantages of Sampling
- 10-3 Producer and Consumer Risks
- 10-4 Operating Characteristic Curve
- 10-5 Types of Sampling Plans
- 10-6 Evaluating Sampling Plans
- 10-7 Bayes Rule and Decision Making Based on Samples
- 10-8 Lot-by-Lot Attribute Sampling Plans
- 10-9 Other Attribute Sampling Plans
- 10-10 Deming's kp Rule
- 10-11 Sampling Plans for Variables
- 10-12 Variable Sampling Plans for A Process Parameter
- 10-13 Variable Sampling Plans for Estimating the Lot Proportion Nonconforming
- Summary
- Key Terms
- Exercises
- References
- Chapter 10: Acceptance Sampling Plans for Attributes and Variables
- Part V: Product and Process Design
- Chapter 11: Reliability
- Chapter 12: Experimental Design and the Taguchi Method
- 12-1 Introduction and Chapter Objectives
- 12-2 Experimental Design Fundamentals
- 12-3 Some Experimental Designs
- 12-4 Factorial Experiments
- 12-5 The Taguchi Method
- 12-6 The Taguchi Philosophy
- 12-7 Loss Functions
- 12-8 Signal-to-Noise Ratio and Performance Measures
- 12-9 Critique of S/N Ratios
- 12-10 Experimental Design in the Taguchi Method
- 12-11 Parameter Design in the Taguchi Method
- 12-12 Critique of Experimental Design and the Taguchi Method
- Summary
- Key Terms
- Exercises
- References
- Chapter 13: Process Modeling Through Regression Analysis
- 13-1 Introduction and Chapter Objectives
- 13-2 Deterministic and Probabilistic Models
- 13-3 Model Assumptions
- 13-4 Least Squares Method for Parameter Estimation
- 13-5 Model Validation and Remedial Measures
- 13-6 Estimation and Inferences From a Regression Model
- 13-7 Qualitative Independent Variables
- 13-8 Issues in Multiple Regression
- 13-9 Logistic Regression
- Summary
- Key Terms
- Exercises
- References
- Appendixes
- Appendix A-1 Cumulative binomial distribution
- Appendix A-2 Cumulative Poisson Distribution
- Appendix A-3 Cumulative Standard Normal Distribution
- Appendix A-4 Values of t for a Specified Right-Tail Area
- Appendix A-5 Chi-Squared Values for a Specified Right-Tail Area
- Appendix A-6 Values of F for a Specified Right-Tail Area
- Appendix A-7 Factors for Computing Centerline and Three-Sigma Control Limits
- Appendix A-8 Uniform Random Numbers
- Index
- End User License Agreement
Fundamentals of Quality Control and Improvement
Fourth Edition
Amitava Mitra
Auburn University
College of Business
Auburn, Alabama
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