ISBN 9780070078062,Quality Management

Quality Management



Tata McGraw - Hill Education

Publication Year 2008

ISBN 9780070078062

ISBN-10 0070078068


Edition 3rd
Number of Pages 696 Pages
Language (English)


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.

Salient Features:

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

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