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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.

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.

Design for Six Sigma Statistics

Design for Six Sigma Statistics PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071483020
Category : Business & Economics
Languages : en
Pages : 882

Book Description
In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.

Statistical Tolerancing in Design for Six Sigma (Digital Short Cut)

Statistical Tolerancing in Design for Six Sigma (Digital Short Cut) PDF Author: Randy C. Perry
Publisher: Pearson Education
ISBN: 0132712903
Category : Technology & Engineering
Languages : en
Pages : 50

Book Description
This is the eBook version of the printed book. Development of a new product requires the product development team to address many complex customer requirements during the commercialization process. Consider a situation in which a new product being developed must meet specified upper and lower specification limits based on Voice of the Customer interviews. The design team must model and understand the sources of potential variation in the new product that need to be monitored and controlled if the product is to meet the identified customer needs. The process of analyzing component variation and designing a final product that meets customer tolerance requirements is known as statistical tolerancing. In this Short Cut, various Design for Six Sigma techniques for determining the impact of multiple sources of variation on a final product are examined in detail. A procedure is described for using representative models for individual product components to estimate the expected overall level of variation in the performance of a final product. Three methods of tolerance analysis are presented and the merits of each are discussed: Worst Case Analysis, Root Sum of Squares Analysis, and Six Sigma Tolerance Analysis. A detailed case study example, involving multiple sources of variation, is employed to illustrate the application of these methods. Minitab® is used to identify the best-fitting distributions from data sets for individual components. Monte Carlo Simulation with Crystal Ball® is then employed to determine the most important individual sources of variation and the overall variation of the final product. Finally, Crystal Ball's OptQuest® optimization feature is utilized to determine the required design value for each key parameter to meet final customer requirements. Contents What This Short Cut Covers Introduction Worst Case Analysis Root Sum of Squares Analysis Six Sigma Tolerance Analysis What's in the Book Commercializing Great Products with Design for Six Sigma About the Authors Related Publications

Six Sigma for Students

Six Sigma for Students PDF Author: Fatma Pakdil
Publisher: Springer Nature
ISBN: 3030407098
Category : Business & Economics
Languages : en
Pages : 506

Book Description
This textbook covers the fundamental mechanisms of the Six Sigma philosophy, while showing how this approach is used in solving problems that affect the variability and quality of processes and outcomes in business settings. Further, it teaches readers how to integrate a statistical perspective into problem solving and decision-making processes. Part I provides foundational background and introduces the Six Sigma methodology while Part II focuses on the details of DMAIC process and tools used in each phase of DMAIC. The student-centered approach based on learning objectives, solved examples, practice and discussion questions is ideal for those studying Six Sigma.

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.

Applying Design for Six Sigma to Software and Hardware Systems

Applying Design for Six Sigma to Software and Hardware Systems PDF Author: Eric Maass
Publisher: Pearson Education
ISBN: 0137035918
Category : Technology & Engineering
Languages : en
Pages : 543

Book Description
The Practical, Example-Rich Guide to Building Better Systems, Software, and Hardware with DFSS Design for Six Sigma (DFSS) offers engineers powerful opportunities to develop more successful systems, software, hardware, and processes. In Applying Design for Six Sigma to Software and Hardware Systems , two leading experts offer a realistic, step-by-step process for succeeding with DFSS. Their clear, start-to-finish roadmap is designed for successfully developing complex high-technology products and systems that require both software and hardware development. Drawing on their unsurpassed experience leading Six Sigma at Motorola, the authors cover the entire project lifecycle, from business case through scheduling, customer-driven requirements gathering through execution. They provide real-world examples for applying their techniques to software alone, hardware alone, and systems composed of both. Product developers will find proven job aids and specific guidance about what teams and team members need to do at every stage. Using this book’s integrated, systems approach, marketers, software professionals, and hardware developers can converge all their efforts on what really matters: addressing the customer’s true needs. Learn how to Ensure that your entire team shares a solid understanding of customer needs Define measurable critical parameters that reflect customer requirements Thoroughly assess business case risk and opportunity in the context of product roadmaps and portfolios Prioritize development decisions and scheduling in the face of resource constraints Flow critical parameters down to quantifiable, verifiable requirements for every sub-process, subsystem, and component Use predictive engineering and advanced optimization to build products that robustly handle variations in manufacturing and usage Verify system capabilities and reliability based on pilots or early production samples Master new statistical techniques for ensuring that supply chains deliver on time, with minimal inventory Choose the right DFSS tools, using the authors’ step-by-step flowchart If you’re an engineer involved in developing any new technology solution, this book will help you reflect the real Voice of the Customer, achieve better results faster, and eliminate fingerpointing. About the Web Site The accompanying Web site, sigmaexperts.com/dfss, provides an interactive DFSS flowchart, templates, exercises, examples, and tools.

Statistical Rethinking

Statistical Rethinking PDF Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488

Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Implementing Six Sigma

Implementing Six Sigma PDF Author: Forrest W. Breyfogle, III
Publisher: John Wiley & Sons
ISBN: 0471265721
Category : Technology & Engineering
Languages : en
Pages : 1232

Book Description
Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking. Provides plans, checklists, metrics, and pitfalls.

Six Sigma Mechanical Design Tolerancing

Six Sigma Mechanical Design Tolerancing PDF Author: Mikel J. Harry
Publisher:
ISBN: 9781569460160
Category : Machine design
Languages : en
Pages : 60

Book Description


Tool and Manufacturing Engineers Handbook: Plastic Part Manufacturing

Tool and Manufacturing Engineers Handbook: Plastic Part Manufacturing PDF Author: Philip Mitchell
Publisher: Society of Manufacturing Engineers
ISBN: 0872634566
Category : Technology & Engineering
Languages : en
Pages : 695

Book Description
This volume focuses on the practical application of processes for manufacturing plastic products. It includes information on design for manufacturability (DFM), material selection, process selection, dies, molds, and tooling, extrusion, injection molding, blow molding, thermoforming, lamination, rotational molding, casting, foam processing, compression and transfer molding, fiber reinforced processing, assembly and fabrication, quality, plant engineering and maintenance, management.