Juran's Quality Planning & Analysis for Enterprise Quality, 5th Edition

Through four editions, Juran 's Quality Planning and Analysis has provided students and professionals with an authoritative treatment of the subject that goes beyond statistical techniques. The fifth edition of this highly regarded classic book on managing for quality, Juran 's Quality Planning and Analysis for Enterprise Quality, combines the pioneering concepts of Dr. Joseph M. Juran and the teachings of the late Dr. Frank M. Gryna with the insights and experience of today 's leading trainers and practitioners at the Juran Institute: Dr. Richard Chua, Executive VP and Joseph A. DeFeo, President & Executive Coach. The trademark Juran Institute approach has been retained, developing the viewpoint that the achievement of quality products and services requires the application of managerial, technological, statistical, and behavioral actions throughout all functions of an organization. With real-world problems provided in each chapter, students are faced with realities that confront managers, designers, engineers, marketers, operations personnel, users, and others involved in enterprise quality.This text will challenge readers to make assumptions, estimate economics, reach data-driven conclusions, and adapt themselves to the imperfect world of the practitioner. Students and professionals will also find this book useful as they prepare for various certifications such as the Certified Quality Engineer, Reliability Engineer, Quality Manager, Six Sigma Green Belt and Black Belt.

The Great Innovators
Foreword
About the Authors
Preface

Introduction

Part I : Foundation
Chapter 1 : Basic Concepts
Chapter 2 : Companywide Assessment of Quality
Chapter 3 : Quality Improvement and Cost Reduction
Chapter 4 : Operational Quality Planning and Sales Income
Chapter 5 : Quality Control

Part II : Managerial Concepts
Chapter 6 : Process Management
Chapter 7 : Organization for Quality
Chapter 8 : Strategic Quality Management
Chapter 9 : Developing a Quality Culture

Part III : Functional Applications
Chapter 10 : Understanding Customer Needs
Chapter 11 : Designing for Quality
Chapter 12 : Supply Chain Management
Chapter 13 : Operations-Manufacturing Sector
Chapter 14 : Operations-Service Sector
Chapter 15 : Inspection, Test, and Measurement
Chapter 16 : Quality Assurance Audits

Part IV : Statistical Techniques
Chapter 17 : Basic Concepts of Statistics and Probability
Chapter 18 : Statistical Tools for Analyzing Data
Chapter 19 : Statistical Tools for Designing for Quality
Chapter 20 : Statistical Process Control

Appendix I : Supplementary Problems Using Minitab
Appendix II : Study Guide Examples of Certification Examination Questions and Answers
Appendix III : Tables
Name Index
Subject Index