Through four editions, "Juran's Quality Planning and Analysis: for Enterprise Quality" 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, 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 consultants at the Juran Institute ' Dr. Richard Chua, Executive VP & Six Sigma Practice Leader, and Joseph A. DeFeo, CEO & Executive Coach. The trademark Juran Institute approach has been retained, developing the viewpoint that the control of quality requires managerial, technological, statistical, and behavioral concepts throughout all major 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 the quality function. Students are required to make assumptions, estimate economics, reach conclusions from incomplete facts, and otherwise adapt themselves to the imperfect world of the practitioner. An instructor's manual supports the text, providing solutions, additional questions, and case examples. Modular organization of topics into four parts enables instructors (and the reader) to customize topic coverage easily for different classes, as follows: Foundation, Managerial Concepts, Functional Applications and Statistical Techniques. This book is very useful for: senior-level undergraduate and graduate classes in business and engineering schools; practitioners of Quality including those preparing for the ASQ certification examinations: Certified Quality Engineer, Quality Manager, Software Quality Engineer, and Reliability Engineer; executives and practitioners of Performance Excellence, Operational Excellence, Six Sigma and Lean; Black Belt and Green Belt workshops.A detailed "Roadmap for Change" is provided in the introduction, which is a chapter taken from the best-selling book, "Juran Institute's Six Sigma Breakthrough and Beyond" by Joseph A. DeFeo and Dr. William W. Barnard. A fuller treatment of Hypothesis Testing has been provided. This includes the provisions of a hypothesis testing roadmap to guide students on the choice of statistical tests.New and expanded topics include: Six Sigma Improvement, Design for Six Sigma, Lean, Value Stream Management, Mass Customization, Quality Function Deployment, and Strategic Deployment. Examples of Six Sigma projects and presentations are showcased. The text provides an in-depth treatment of Six Sigma, both Six Sigma Improvement (DMAIC) and Design for Six Sigma (DMADV), which reference both manufacturing and transactional service environments. Includes 25% new figures. New examples and exercises expanded to include: medical devices, pharmaceuticals, food, service sector and software industryOn-line data sets and software tools such as Excel and Minitab. The Minitab software has been incorporated into all of the statistical technique chapters.Integration of ASQ style exam questions throughout chapters and updated in Appendix. Updated references and supplementary readings listed at the end of each chapter.20 chapters are organized into four major parts: Part I: Foundation; Part II: Managerial Concepts; Part III: Functional Applications; Part IV: Statistical Techniques. This chapter reflects updated strategic changes in the field. Ties together how to implement Q/M This feature will benefit Six Sigma Green Belts and Black Belts.This step-by-step logical flow of how the Six Sigma methodologies are applied will be very illustrative to both novices and experienced practitioners to Six Sigma.Helps students to visualize concepts. More visuals and diagrams, including templates, are featured to aid learning. Book reflects American industry today, less manufacturing focused and more service focused.Students have more time to focus on problem solving. Students can work on statistical analysis of quality problems using Minitab. The application of Minitab in Six Sigma is well illustrated by the Six Sigma project examples, which will be helpful to quality and six sigma professionals (Green Belts and Black Belts). Includes test prep questions for ASQ exams The book has been streamlined from 23 chapters down to a fuller treatment of relevant topics with 20 chapters. How do you discuss Q/M? Would a textbook that ties together how to implement Q/M be helpful?How do you educate your students on the choice of statistical tests? Would a text that inlcuded this information be helpful?Do you cover Six Sigma Improvement, Design for Six Sigma, Lean, Value Stream Management, Mass Customization, Quality Function Deployment, Strategic Deployment? Would a text that touched upon these important topics be helpful? Do you see it as a strong benefit for a text to show the logical flow of how the six sigma methodologies are applied?