A First Course in Quality Engineering ─ Integrating Statistical and Management Methods of Quality

Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers.
See what’s new in the new edition:


* Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteria
* Includes new mini-projects and examples throughout
* Incorporates Lean methods for reducing cycle time, increasing throughput, and reducing waste
* Contains increased coverage of strategic planning

This text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems.
Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE).

Introduction to Quality

An Historical Overview
Defining Quality
The Total Quality System
Total Quality Management
Economics of Quality
Quality, Productivity, and Competitive Position
Quality Costs
Success Stories
Exercise
References
Statistics for Quality
Variability in Populations
Some Definitions
Quality vs. Variability
Section I: Empirical Methods for Describing Populations
Section II: Mathematical Models for Describing Populations
Section III: Inference of Population Quality from a Sample
Mini-Projects
References
Quality in Design
Planning for Quality
Product Planning
Product Design
Process Design
Exercise
References
Quality in Production—Process Control I
Process Control
The Control Charts
Measurement Control Charts
Attribute Control Charts
Summary on Control Charts
Process Capability
Measurement System Analysis
Exercise
References
Quality in Production—Process Control II
Derivation of Limits
Operating Characteristics of Control Charts
Measurement Control Charts for Special Situations
Topics in Process Capability
Topics in the Design of Experiments
Exercise
References
Managing for Quality
Managing Human Resources
Strategic Planning for Quality
Exercise
References
Quality in Procurement
Importance of Quality in Supplies
Establishing a Good Supplier Relationship
Choosing and Certifying Suppliers
Specifying the Supplies Completely
Auditing the Supplier
Supply Chain Optimization
Using Statistical Sampling for Acceptance
Exercise
References
Continuous Improvement of Quality
The Need for Continuous Improvement
The Problem-Solving Methodology
Quality Improvement Tools
Lean Manufacturing
Exercise
References
A System for Quality
The Systems Approach
Dr. Deming’s System
Dr. Juran’s System
Dr. Feigenbaum’s System
Baldrige Award Criteria
ISO 9000 Quality Management Systems
ISO 9001:2008 Requirements
The Six Sigma System
Summary of Quality Management Systems
Exercise
References
Appendix 1
Appendix 2