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Fundamentals of Quality Control and Improvement

ISBN-10: 0136450865
ISBN-13: 9780136450863
Edition: 2nd 1998
Authors: Amitava Mitra
List price: $143.00
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Description: Appropriate for undergraduate and graduate level courses in Statistical Quality Control, Statistical Process Control, or Quality Management, Business Administration in Management as well as related courses in Engineering and Technology. Rooted in a  More...

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Book details

List price: $143.00
Edition: 2nd
Copyright year: 1998
Publisher: Prentice Hall PTR
Publication date: 1/22/1998
Binding: Hardcover
Pages: 752
Size: 8.50" wide x 10.50" long x 1.50" tall
Weight: 3.344
Language: English

Appropriate for undergraduate and graduate level courses in Statistical Quality Control, Statistical Process Control, or Quality Management, Business Administration in Management as well as related courses in Engineering and Technology. Rooted in a statistical foundation, this clear, lucid book presents the real-world applications of quality control. It incorporates modern ideas, methods, and philosophies of total quality management. And, it focuses on statistical process control and related subjects, such as achieving product and process quality through experimental design.

Amitava Mitra, PhD, is Associate Dean in the College of Business and Professor in the Department of Management at Auburn University, Alabama. He has published over seventy journal articles and currently teaches in the areas of quality assurance and improvement. Dr. Mitra has over thirty years of academic and professional experience, and has conducted courses for professionals in total quality management, quality assurance and statistical process control, design of experiments, and Six Sigma Black Belt training.

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 Graphical Methods of Data
Presentation and Quality Improvement
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
Quality in the Service Sector
Quality Control in the Service Sector
Appendix
Index

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