Tata McGraw - Hill Education
|Number of Pages
The text is meant for MBA students who opt for an elective paper called as Quality Management, Quality Control, Total Quality Management (TQM), etc. This elective is offered in the POM stream. It can also be used in the industrial engineering dePartments where courses are likely to be named Quality Control, Statistical Process Control, or Quality Process Analysis. It presents a comprehensive approach to quality improvement, using Dr. W. Edwards Deming's philosophy of quality, productivity, and competitive position.
Focuses on Deming's pioneering theory of management and ties all discussions of statistical topics to that theory, providing students the most effective and authoritative study of quality management concepts.
Provides detailed quality improvement stories (an effective format for presenting and working on statistical process improvement efforts.)
Has many examples and mini-case studies to help students understand and better appreciate the topics covered and how they are applied in business
Six chapters on general quality management or administration, as well as expanded basic methods such as process analysis, basic behavioral tools, process design and improvement. These topics will provide a broader more comprehensive understanding of quality management for students.
Comprehensive coverage of the role of experiments and product design in quality management, providing students with a more comprehensive treatment of the connection between effective productive design and quality control techniques.
Technology - Integrates Excel screenshots throughout the control chart chapters, providing students with a more modern treatment of this topic.
Table of Contents : -
Part I : Foundations of Quality Management
Chapter 1 Fundamentals of Quality
Chapter 2 Deming?s Theory of Management
Chapter 3 Fundamentals of Statistical Studies
Chapter 4 Defining and Documenting a Process
Part II: Tools and Methods for Analytic Studies
Chapter 5 Basic Probability and Statistics 5-App Using Windows
Chapter 6 Stabilizing and Improving and Process with Control Charts
Chapter 7 Attribute Control Charts
Chapter 8 Variables Control Charts
Chapter 9 Out-of-Control Patterns
Chapter 10 Diagnosing a Process
Chapter 11 Process Capability and Improvement Studies
Chapter 12 Design of Experiments
Chapter 13 Inspection Policy
Part III: Administrative Systems for Quality Management
Chapter 14 The Fork Model for Quality Management-The handle-Transformation
Chapter 15 The Fork Model for Quality Management-The neck -Management
Chapter 16 The Fork Model for Quality Management-Prong 1-Daily Management
Chapter 17 The Fork Model for Quality Management-Prong 2-Cross Functional Management
Chapter 18 The Fork Model for Quality Management-Prong 3-Policy Management
Chapter 19 Resource Requirements
Part IV: Current Thinking About Statistical Practice
Chapter 20 Six Sigma Management