Fundamentals of Quality Control and Improvement
Amitava Mitra(Author)
Pearson (Publisher)
2nd Edition
Published on 20. February 1998
Book
Hardback
752 pages
978-0-13-645086-3 (ISBN)
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 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.
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.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 260 mm
Width: 208 mm
Thickness: 30 mm
Weight
1520 gr
ISBN-13
978-0-13-645086-3 (9780136450863)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Amitava Mitra
Fundamentals of Quality Control and Improvement
Book
02/1993
Macmillan USA
€60.84
Article exhausted; check for reprint
Content
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.
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.