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Summary:
This book covers the foundations of modern methods of quality control
and improvement that are used in the manufacturing and service industries.
Quality is key to surviving tough competition. Consequently, business
needs technically competent people who are well-versed in statistical
quality control and improvement. This book should serve the needs of students
in business and management and students in engineering, technology, and
other related disciplines. Professionals will find this book to be a valuable
reference in the field.
Brief Contents:
- PHILOSOPHY AND FUNDAMENTALS
- Introduction to Quality Control and Total Quality System
- Some Philosophies and their Impact on Quality
- Quality Management: Practices, Tools and Standards
- STATISTICAL FOUNDATIONS AND METHODS OF QUALITY IMPROVEMENT
- Fundamentals of Statistical Concepts and Techniques
in Quality Control and Improvement
- Data Analysis and Sampling
- STATISTICAL PROCESS CONTROL
- Statistical process Control Using Control Charts
- Control Charts for Variables
- Control Charts for Attributes
- Process Capability Analysis
- ACCEPTANCE SAMPLING
- Acceptance Sampling Plans for Attributes and Variables
- PRODUCT AND PROCESS DESIGN
- Reliability
- Experimental Design and the Taguchi Method
Adoptions:
The book has been adopted nationally and internationally. In the United
States, a selection of institutions that have adopted the book in the past, among
others, are as follows:
- MIT
- Harvard
- Stanford
- University of California - Berkeley
- University of Southern California
- University of Chicago
- Georgia Institute of Technology
- University of Michigan
- Ohio State University
- Pennsylvania State University
- University of Florida
- Washington University
- VPI&SU
- Arizona State University
- University of California- Davis
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