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Design for Six Sigma Statistics, Chapter 1 - Engineering in a Six Sigma Company

Design for Six Sigma Statistics, Chapter 1 - Engineering in a Six Sigma Company PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735631
Category : Business & Economics
Languages : en
Pages : 33

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Design for Six Sigma Statistics, Chapter 1 - Engineering in a Six Sigma Company

Design for Six Sigma Statistics, Chapter 1 - Engineering in a Six Sigma Company PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735631
Category : Business & Economics
Languages : en
Pages : 33

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Introduction to Engineering Statistics and Lean Sigma

Introduction to Engineering Statistics and Lean Sigma PDF Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 1849960003
Category : Technology & Engineering
Languages : en
Pages : 573

Book Description
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Design for Six Sigma Statistics, Chapter 7 - Detecting Changes

Design for Six Sigma Statistics, Chapter 7 - Detecting Changes PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735690
Category : Business & Economics
Languages : en
Pages : 96

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Introduction to Engineering Statistics and Six Sigma

Introduction to Engineering Statistics and Six Sigma PDF Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 9781852339555
Category : Technology & Engineering
Languages : en
Pages : 560

Book Description
This book contains precise descriptions of all of the many related six sigma methods. It also includes many case studies that detail how these methods have been applied in engineering and business to achieve millions of dollars of savings. This book will help readers to determine exactly which methods to apply in which situations and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on the case studies help build associations between techniques and industrial problems.

Introduction to Engineering Statistics and Lean Six Sigma

Introduction to Engineering Statistics and Lean Six Sigma PDF Author: Theodore T. Allen
Publisher: Springer
ISBN: 1447174208
Category : Technology & Engineering
Languages : en
Pages : 629

Book Description
This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming's philosophy, human factors engineering, and the motivating potential score – the material is tied more directly to the Certified Quality Engineer (CQE) exam. New sections that explore motivation and change management, which are critical subjects for achieving valuable results have also been added. The book examines in detail Design For Six Sigma (DFSS), which is critical for many organizations seeking to deliver desirable products. It covers reliability, maintenance, and product safety, to fully span the CQE body of knowledge. It also incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on experiment design, and includes practical experiments that will help improve students’ intuition and retention. The emphasis on lean production, combined with recent methods relating to DFSS, makes this book a practical, up-to-date resource for advanced students, educators and practitioners.

Design for Six Sigma Statistics, Chapter 3 - Describing Random Behavior

Design for Six Sigma Statistics, Chapter 3 - Describing Random Behavior PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735658
Category : Business & Economics
Languages : en
Pages : 52

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Design for Six Sigma in Technology and Product Development

Design for Six Sigma in Technology and Product Development PDF Author: Clyde M. Creveling
Publisher: Prentice Hall Professional
ISBN: 0132797240
Category : Technology & Engineering
Languages : en
Pages : 1170

Book Description
This book addresses many new topical areas for the development of 6 Sigma performance. The text is structured to demonstrate how 6 Sigma methods can be used as a very powerful tool within System Engineering and integration evaluations to help enable the process of Critical Parameter Management. The case studies and examples used throughout the book come from recent successful applications of the material developed in the text.

Design for Six Sigma Statistics

Design for Six Sigma Statistics PDF Author: Andrew D. Sleeper
Publisher: McGraw Hill Professional
ISBN:
Category : Business & Economics
Languages : en
Pages : 896

Book Description
More than an introduction to statistical concepts and methods; this comprehensive resource provides sophisticated Six Sigma practitioners with the statistical tools necessary for rooting out and solving problems associated with product or service design. --

Design for Six Sigma Statistics, Chapter 6 - Measuring Process Capability

Design for Six Sigma Statistics, Chapter 6 - Measuring Process Capability PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735682
Category : Business & Economics
Languages : en
Pages : 70

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Design for Six Sigma Statistics, Chapter 11 - Predicting the Variation Caused by Tolerances

Design for Six Sigma Statistics, Chapter 11 - Predicting the Variation Caused by Tolerances PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735739
Category : Business & Economics
Languages : en
Pages : 109

Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.