Six Sigma Distribution Modeling

Six Sigma Distribution Modeling PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071482784
Category : Technology & Engineering
Languages : en
Pages : 1075

Book Description
Intended for those who want to select and apply a statistical model, this title includes an explanation of distribution flowcharts.

Six Sigma Distribution Modeling

Six Sigma Distribution Modeling PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071712496
Category : Technology & Engineering
Languages : en
Pages : 462

Book Description
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.

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

Simulation-based Lean Six-Sigma and Design for Six-Sigma PDF Author: Basem El-Haik
Publisher: John Wiley & Sons
ISBN: 0470047712
Category : Technology & Engineering
Languages : en
Pages : 400

Book Description
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 Distribution Modeling

Six Sigma Distribution Modeling PDF Author:
Publisher:
ISBN: 9781615830848
Category : Distribution (Probability theory)
Languages : en
Pages : 442

Book Description


Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers PDF Author: Wei Zhan
Publisher: Momentum Press
ISBN: 1606504932
Category : Technology & Engineering
Languages : en
Pages : 247

Book Description
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.

Statistical and Managerial Techniques for Six Sigma Methodology

Statistical and Managerial Techniques for Six Sigma Methodology PDF Author: Stefano Barone
Publisher: John Wiley & Sons
ISBN: 1119940249
Category : Mathematics
Languages : en
Pages : 444

Book Description
Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines the Six Sigma methodology through illustrating the most widespread tools and techniques involved in Six Sigma application. Both managerial and statistical aspects are analysed allowing the reader to apply these tools in the field. Furthermore, the book offers insight on variation and risk management and focuses on the structure and organizational aspects of Six Sigma projects. Key features: • Presents both statistical and managerial aspects of Six Sigma, covering both basic and more advanced statistical techniques. • Provides clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma. • Written by experienced authors in the field. This textbook is ideal for graduates studying Six Sigma for Black Belt and Green Belt qualifications as well as for engineering and quality management courses. Business consultants and consultancy firms implementing Six Sigma will also benefit from this book.

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.

Reducing Process Costs with Lean, Six Sigma, and Value Engineering Techniques

Reducing Process Costs with Lean, Six Sigma, and Value Engineering Techniques PDF Author: Kim H. Pries
Publisher: CRC Press
ISBN: 1466597631
Category : Business & Economics
Languages : en
Pages : 367

Book Description
A company with effective cost reduction activities in place will be better positioned to adapt to shifting economic conditions. In fact, it can make the difference between organizations that thrive and those that simply survive during times of economic uncertainty. Reducing Process Costs with Lean, Six Sigma, and Value Engineering Techniques covers

Mathematical and Statistical Models and Methods in Reliability

Mathematical and Statistical Models and Methods in Reliability PDF Author: V.V. Rykov
Publisher: Springer Science & Business Media
ISBN: 0817649719
Category : Technology & Engineering
Languages : en
Pages : 465

Book Description
The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Novel Six Sigma Approaches to Risk Assessment and Management

Novel Six Sigma Approaches to Risk Assessment and Management PDF Author: Bubevski, Vojo
Publisher: IGI Global
ISBN: 1522527044
Category : Business & Economics
Languages : en
Pages : 290

Book Description
The progression of risk management techniques provides the crucial applications and benefits to all of society. By analyzing the current trends and techniques used to assess and mitigate risks, safer processes can be used for all professional fields, as well as society as a whole. Novel Six Sigma Approaches to Risk Assessment and Management is a vital scholarly resource that provides an in-depth examination on innovative Six Sigma methods for risk mitigation initiatives. Featuring an array of relevant topics such as project management, production scheduling, information systems security, and agricultural planning, this is an ideal reference book for professionals, academicians, students, and researchers interested in detailed research on recent advancements in the management of risk in all fields.