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
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- ID: 9781439840344
2nd Revised edition
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