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," Third 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, this timely new edition bridges the gap between statistical quality control and quality management. The book promotes a unique "do it right the first time" approach and 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. Further management-oriented topics of discussion include total quality management; quality function deployment; activity-basedcosting; balanced scorecard; benchmarking; failure mode and effects criticality analysis; quality auditing; vendor selection and certification; and the Six Sigma quality philosophy. The "Third Edition" also features: Presentation of acceptance sampling and reliability principles Coverage of ISO 9000 standards Profiles of past Malcolm Baldrige National Quality Award winners, which illustrate examples of best business practices Strong emphasis on process control and identification of remedial actions Integration of service sector examples The implementation of MINITAB(R) software in applications found throughout the book as well as in the additional data sets that are available via the related Web site New and revised exercises at the end of most chapters Complete with discussion questions and a summary of key terms in each chapter, "Fundamentals of Quality Control and Improvement," Third Edition is an ideal book for courses in management, technology, and engineering at the undergraduate and graduate levels. It also serves as a valuable reference for practitioners and professionals who would like to extend their knowledge of the subject.
I. PHILOSOPHY AND FUNDAMENTALS. 1. Introduction to Quality Control and the Total Quality System. 2. Some Philosophies and Their Impact on Quality. 3. Quality Management Practices, Tools, and Standards. II. STATISTICAL FOUNDATIONS AND METHODS OF QUALITY IMPROVEMENT. 4. Fundamentals of Statistical Concepts and Techniques in Quality Control and Improvement. 5. Graphical Methods of Data Presentation and Quality Improvement. III. STATISTICAL PROCESS CONTROL. 6. Statistical Process Control Using Control Charts. 7. Control Charts for Variables. 8. Control Charts for Attributes. 9. Process Capability Analysis. IV. ACCEPTANCE SAMPLING. 10. Acceptance Sampling Plans for Attributes and Variables. V. PRODUCT AND PROCESS DESIGN. 11. Reliability. 12. Experimental Design and The Taguchi Method. VI. APPLICATIONS IN THE SERVICE SECTOR. 13. Quality Control in the Service Sector. Appendices. Index.
When you apply and use them correctly, they will become second nature, simplifying and improving the way you work. However, if you don’t understand their significance, or you stay at their broad definitions and don’t dig deeper to find concrete, measurable ways of applying quality control and continuous improvement to your business, you won’t benefit fully.
Learning the difference between quality control and continuous improvement is essential, even if you already use these terms and concepts. These terms have become so common over the past decade that, in some cases, they have lost their impact and are seen as slogans, not useful day-to-day tools. Once you understand the major and nuanced differences between quality control and continuous improvement, you will see them as two very powerful approaches to running a leaner and more efficient business with measurably higher quality.