Fundamentals of Quality Control and Improvement, 4th Edition

Fundamentals of Quality Control and Improvement, 4th Edition

by Amitava Mitra
Released May 2016
Publisher(s): Wiley
ISBN: 9781118705148

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Book description

A statistical approach to the principles of quality control and management

Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management. 

Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes:

  • New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis 
  • Updated examples and exercises that enhance the readers’ understanding of the concepts
  • Discussions on the integration of statistical concepts to decision making in the realm of quality assurance 
  • Additional concepts, tools, techniques, and issues in the field of health care and health care quality 
  • A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items

Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.

Table of contents

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

Product information

  • Title: Fundamentals of Quality Control and Improvement, 4th Edition
  • Author(s): Amitava Mitra
  • Release date: May 2016
  • Publisher(s): Wiley
  • ISBN: 9781118705148