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Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements PDF Author: Mikel J. Harry
Publisher: John Wiley & Sons
ISBN: 1118210212
Category : Technology & Engineering
Languages : en
Pages : 827

Book Description
This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements PDF Author: Mikel J. Harry
Publisher: John Wiley & Sons
ISBN: 1118210212
Category : Technology & Engineering
Languages : en
Pages : 827

Book Description
This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.

A Guide to Six Sigma and Process Improvement for Practitioners and Students

A Guide to Six Sigma and Process Improvement for Practitioners and Students PDF Author: Howard S. Gitlow
Publisher: Pearson Education
ISBN: 0133925366
Category : Business & Economics
Languages : en
Pages : 515

Book Description
Thousands of companies have discovered the value of Six Sigma in streamlining operations, cutting costs, improving quality, and increasing profitability. A Guide to Lean Six Sigma and Process Improvement for Practitioners and Students, Second Edition gives green belts, black belts, champions, and students a complete executive framework for understanding quality and implementing Lean Six Sigma. Building on the widely praised first edition, top Six Sigma experts Howard Gitlow and Richard Melnyck add today's most recent and important lean and process control system applications. Step by step, they systematically walk you through the five-step DMAIC implementation process, with detailed examples and many real-world case studies. You'll find practical coverage of Six Sigma statistics and management techniques, and realistic solutions for many common implementation obstacles. Coverage includes: A realistic overview of Six Sigma Management Six Sigma roles, responsibilities, and terminology Managing Six Sigma with Dashboards and Control Charts Mastering each DMAIC phase: Define, Measure, Analyze, Improve, Control Understanding foundational Six Sigma statistics: probability, probability distributions, sampling distributions, and interval estimation Testing hypotheses and designing experiments Pursuing Six Sigma Champion or Green Belt Certification, and more

A Guide to Six Sigma and Process Improvement for Practitioners and Students

A Guide to Six Sigma and Process Improvement for Practitioners and Students PDF Author: Howard S. Gitlow
Publisher:
ISBN: 9780133925463
Category : Six sigma (Quality control standard)
Languages : en
Pages :

Book Description


Process Improvement Using Six Sigma

Process Improvement Using Six Sigma PDF Author: Rama Shankar
Publisher: Quality Press
ISBN: 0873897528
Category : Business & Economics
Languages : en
Pages : 129

Book Description
The purpose of this book is to provide the practitioner with the necessary tools and techniques with which to implement a systematic approach to process improvement initiatives using the Six Sigma methodology.

Lean Sigma

Lean Sigma PDF Author: Ian Wedgwood PhD
Publisher: Pearson Education
ISBN: 0132712830
Category : Business & Economics
Languages : en
Pages : 591

Book Description
The Practical, Easy-to-Use Guide to Lean Sigma Problem-Solving Lean Sigma delivers results–if you use the right tools and techniques. In Lean Sigma: A Practitioner’s Guide, Dr. Ian Wedgwood captures best-practice Lean Sigma experience from multiple projects and industries, helping any professional identify the solution that will work best–and implement it. Wedgwood’s exclusive "project roadmaps" present the fastest, most effective route to solving a wide range of problems–and explain why those solutions make sense. His "discovery roadmaps" help you identify potential Lean Sigma projects, even in processes where there are no obvious targets. Whether you’re a Green Belt, Black Belt, Master, Project Champion, Sponsor, Deployment Leader, or consultant, this book will help you use Lean Sigma to solve far more problems, far more rapidly, and far more effectively.

Lean Six Sigma Statistics

Lean Six Sigma Statistics PDF Author: Alastair Muir
Publisher: McGraw Hill Professional
ISBN: 9780071588935
Category : Technology & Engineering
Languages : en
Pages : 333

Book Description
The marriage between Lean Manufacturing and Six Sigma has proven to be a powerful tool for cutting waste and improving the organization’s operations. This third book in the Six Sigma Operations series picks up where other books on the subject leave off by providing the six sigma practioners with a statistical guide for solving problems they may encounter in implementing and managing a Lean Six Sigma programs. The book draws it examples from all sectors of business ranging from financial to manufacturing providing the reader with a wealth of case studies and as numerous worked out equations which are designed to facilitate the full potential of any Lean Six Sigma project.

Six Sigma and Minitab

Six Sigma and Minitab PDF Author: Quentin Brook
Publisher:
ISBN: 9780954681326
Category : Minitab
Languages : en
Pages : 238

Book Description


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.

Lean Six SIGMA and Minitab

Lean Six SIGMA and Minitab PDF Author: Quentin Brook
Publisher:
ISBN: 9780995789920
Category :
Languages : en
Pages : 314

Book Description


Statistical Methods for Six Sigma

Statistical Methods for Six Sigma PDF Author: Anand M. Joglekar
Publisher: John Wiley & Sons
ISBN: 0471465372
Category : Science
Languages : en
Pages : 339

Book Description
A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisions Determine the amount of data to collect Compare product and process designs Build equations relating inputs and outputs Establish specifications and validate processes Reduce risk and cost-of-process control Quantify and reduce economic loss due to variability Estimate process capability and plan process improvements Identify key causes and their contributions to variability Analyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject.