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Six Sigma Distribution Modeling

Six Sigma Distribution Modeling
Author: Andrew Sleeper
Publisher: McGraw Hill Professional
Total Pages: 462
Release: 2007-01-09
Genre: Technology & Engineering
ISBN: 0071712496

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Sleeper provides six sigma practitioners with the tools which will allow them to stand out from your competitors by using advanced statistical and modeling tools for more in-depth analysis. Understanding and properly utilizing statistical data distributions is one of the most important and difficult skills for a six sigma practitioner to possess. Sleeper provides six sigma practitioners with a road map for selecting and using distributions for more precise outcomes. With the added value of Crystal Ball Modeling software, this book becomes a powerful tool for analyzing and modeling difficult data quickly and efficiently.


Six Sigma Distribution Modeling

Six Sigma Distribution Modeling
Author:
Publisher:
Total Pages: 442
Release: 2007
Genre: Distribution (Probability theory)
ISBN: 9781615830848

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Outlines and Highlights for Six Sigma Distribution Modeling by Andrew D Sleeper, Isbn

Outlines and Highlights for Six Sigma Distribution Modeling by Andrew D Sleeper, Isbn
Author: Cram101 Textbook Reviews
Publisher: Academic Internet Pub Incorporated
Total Pages: 138
Release: 2010-12
Genre: Business & Economics
ISBN: 9781617440168

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Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780071482783 .


Visual Six Sigma

Visual Six Sigma
Author: Ian Cox
Publisher: John Wiley & Sons
Total Pages: 576
Release: 2016-06-09
Genre: Business & Economics
ISBN: 1119222257

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Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization. The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools. See where, why, and how your data varies Find clues to underlying behavior in your data Identify key models and drivers Build your own Six-Sigma experience Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.


Simulation-based Lean Six-Sigma and Design for Six-Sigma

Simulation-based Lean Six-Sigma and Design for Six-Sigma
Author: Basem El-Haik
Publisher: John Wiley & Sons
Total Pages: 400
Release: 2006-10-27
Genre: Technology & Engineering
ISBN: 0470047712

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This is the first book to completely cover the whole body of knowledge of Six Sigma and Design for Six Sigma with Simulation Methods as outlined by the American Society for Quality. Both simulation and contemporary Six Sigma methods are explained in detail with practical examples that help understanding of the key features of the design methods. The systems approach to designing products and services as well as problem solving is integrated into the methods discussed.


Six Sigma and Beyond

Six Sigma and Beyond
Author: D.H. Stamatis
Publisher: CRC Press
Total Pages: 370
Release: 2002-08-28
Genre: Business & Economics
ISBN: 1420000268

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Researchers and professionals in all walks of life need to use the many tools offered by the statistical world, but often do not have the necessary experience in both concept and application. No matter what your profession, sooner or later numbers need to be crunched, and often you need to understand how to do it, and why it is important. Quality c


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

Statistical Tolerancing in Design for Six Sigma (Digital Short Cut)
Author: Randy C. Perry
Publisher: Pearson Education
Total Pages: 67
Release: 2006-08-28
Genre: Technology & Engineering
ISBN: 0132712903

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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


Essentials of Lean Six Sigma

Essentials of Lean Six Sigma
Author: Salman Taghizadegan
Publisher: Elsevier
Total Pages: 294
Release: 2010-07-26
Genre: Business & Economics
ISBN: 0080462324

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Six Sigma is a management program that provides tools that help manufacturers obtain efficient, stream-lined production to coincide with ultimate high quality products. Essentials of Lean Six Sigma will show how the well-regarded analytical tools of Six Sigma quality control can be successfully brought into the well-established models of “lean manufacturing, bringing efficient, stream-lined production and high quality product readily together. This book offers a thorough, yet concise introduction to the essential mathematics of Six Sigma, with solid case examples from a variety of industrial settings, culminating in an extended case study. Various professionals will find this book immensely useful, whether it be the industrial engineer, the industrial manager, or anyone associated with engineering in a technical or managing role. It will bring about a clear understanding of not only how to implement Six Sigma statistical tools, but also how to do so within the bounds of Lean manufacturing scheme. It will show how Lean Six Sigma can help reinforce the notion of “less is more, while at the same time preserving minimal error rates in final manufactured products. Reviews the essential statistical tools upon which Six Sigma rests, including normal distribution and mean deviation and the derivation of 1 sigma through six sigma Explains essential lean tools like Value-Stream Mapping and quality improvement tools like Kaizen techniques within the context of Lean Six Sigma practice Extended case study to clearly demonstrate how Six Sigma and Lean principles have been actually implemented, reducing production times and costs and creating improved product quality


Lean Six Sigma for Supply Chain Management, Chapter 6 - Identifying Lean Six Sigma Projects Using Inventory Models

Lean Six Sigma for Supply Chain Management, Chapter 6 - Identifying Lean Six Sigma Projects Using Inventory Models
Author: James Martin
Publisher: McGraw Hill Professional
Total Pages: 27
Release: 2006-10-12
Genre: Business & Economics
ISBN: 0071735569

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This chapter comes from Lean Six Sigma for Supply Chain Management, written by a master black belt/educator. Neatly condensed into a 10 step process, this book teaches you how to apply the tenets of lean operations (from the Toyota Production System) and Six Sigma management principles to supply chain management. Author Jim Martin includes more than 200 tables and figures describing roadmaps, critical success characteristics as well as specific information necessary to fully integrate Lean Six Sigma concepts within your supply chain.


Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers
Author: Wei Zhan
Publisher: Momentum Press
Total Pages: 247
Release: 2015-11-16
Genre: Technology & Engineering
ISBN: 1606504932

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The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis. This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality.