- Shopping Bag ( 0 items )
Ships from: Chatham, NJ
Usually ships in 1-2 business days
Ships from: acton, MA
Usually ships in 1-2 business days
The authoritative classic—revised and updated for today's Six Sigma practitioners
Whether you want to further your Six Sigma training to achieve a Black or Green Belt or you are totally new to the quality-management strategy, you need reliable guidance. The Six Sigma Handbook, Third Edition shows you, step by step, how to integrate this profitable approach into your company's culture.
Co-written by an award-winning contributor to the practice of quality management and a successful Six Sigma trainer, this hands-on guide features:
The Six Sigma Handbook, Third Edition is the only comprehensive reference you need to make Six Sigma work for your company. The book explains how to organize for Six Sigma, how to use customer requirements to drive strategy and operations, how to carry out successful project management, and more. Learn all the management responsibilities and actions necessary for a successful deployment, as well as how to:
Six Sigma has evolved with the changing global economy, and The Six Sigma Handbook, Third Edition is your key to ensuring that your company realizes significant gains in quality, productivity, and sales in today's business climate.
|Pt. I||Six Sigma Implementation and Management||1|
|Ch. 1||Building the Six Sigma Infrastructure||3|
|Ch. 2||Six Sigma Goals and Metrics||56|
|Ch. 3||Creating Customer-Driven Organizations||97|
|Ch. 4||Training for Six Sigma||150|
|Ch. 5||Six Sigma Teams||167|
|Ch. 6||Selecting and Tracking Six Sigma Projects||187|
|Pt. II||Six Sigma Tools and Techniques||235|
|Ch. 7||Introduction to DMAIC and Other Improvement Models||237|
|Ch. 8||Problem Solving Tools||252|
|Ch. 9||Basic Principles of Measurement||277|
|Ch. 10||Measurement Systems Analysis||325|
|Ch. 11||Knowledge Discovery||361|
|Ch. 12||Statistical Process Control Techniques||393|
|Ch. 13||Process Capability Analysis||467|
|Ch. 14||Statistical Analysis of Cause and Effect||490|
|Ch. 15||Managing Six Sigma Projects||534|
|Ch. 16||Risk Assessment||571|
|Ch. 17||Design of Experiments (DOE)||607|
|Ch. 18||Maintaining Control After the Project||649|
|Ch. 19||Design for Six Sigma (DFSS)||665|
|Ch. 20||Lean Manufacturing and Six Sigma||705|
The book begins with a discussion of leadership issues. Unfortunately, this book cannot provide the leadership of a Bob Galvin or a Jack Welch. Nor is it a substitute for the years of study and experience required to reach the technical proficiency of a Black Belt or Master Black Belt. However, with top management's commitment and the efforts of the right people, the information in this book can help your organization achieve its goal of becoming a world-class operation.
In Leading Six Sigma, it is important to understand that it is primarily a new approach to management, not a technical program. The goals of Six Sigma are so ambitious--a 100X quality improvement every two to three years--as to constitute a completely different way of running the business. True, there is a significant technical component involved. But all the technical expertise in the world will fail to produce results unless the working environment is receptive to the ideas and changes that Six Sigma recommends. Six Sigma can also be viewed as a creativity program. The activities undertaken by Six Sigma teams are designed to discover new and better ways to do things. Often, the biggest obstacle faced by an organization is dealing with the destructive nature of creativity. It is difficult to abandon a comfortable routine or an investment in existing technology just because a better way has been discovered. However, this is precisely what Six Sigma demands. Understanding what it takes to allow "creative destruction" to flourish is a primary responsibility of Six Sigma leaders. The leadership section of the book describes the "Six Sigma Organizational Paradox" which faces leaders, namely the need to encourage variation, slack, and redundancy within the organization while simultaneously working to eliminate these same things in processes. Also covered are the various levels of technical proficiency required for Six Sigma, along with criteria for selecting personnel for Six Sigma training. Finally, Chapter One provides a simple Six Sigma Readiness Evaluation checklist.
Chapter Two presents the basic principles of customer-centered organizations. Six Sigma requires customer-focus that is rigorous and data based, mere platitudes will not suffice. The statistical meaning of the term "Six Sigma" is contrasted with the old three sigma quality. This is followed by a discussion of transforming customer requirements into internal requirements. Chapter Two concludes with an overview of the serial nature of business processes and the need for virtually perfect process performance to assure that customers experience Six Sigma quality levels.
Chapter Three examines principles of good metrics and how these metrics are applied in Six Sigma. Particular emphasis is placed on financial metrics.
Chapter Four discusses management of individual Six Sigma projects. The project is the basic unit of activity within Six Sigma. It is the vehicle by which leadership's vision becomes reality. Every aspect of project management is described in depth and detail.
Chapter Five provides an overview of the fundamental principles of good measurement. Both "hard" and "soft" measurements are covered, reflecting the recognition that Six Sigma performance levels require quantifying such things as customer satisfaction and aesthetics as well as physical properties of products and processes.
The discussion proceeds in Chapter Six to an overview of the problem solving tools most often used in Six Sigma. These include check sheets, Pareto analysis, cause and effect diagrams, scatter plots, process flow charts and maps, and many others. The role of on-line analytic processing (OLAP) in Six Sigma is described. The emphasis of Chapter Six is on descriptive methods of analysis. The goal of descriptive methods is orientation of the individual or team. At this stage of analysis and problem solving, it is vital to get an overall idea of the nature and scope of the opportunity.
Chapter Seven covers the use of intermediate-level statistical tools. The chapter opens with a discussion of exploratory data analysis (EDA). While descriptive methods are typically applied to raw data, EDA allows the re-expression of this data through numerous transformations, as well as providing simple, graphical methods of summarizing the data with minimal loss of information. Next, the chapter describes such enumerative statistical methods as hypothesis testing, confidence intervals, tests for the mean, variance and standard deviation, etc. The chapter concludes with a presentation of the analytic statistical tools of control charts, including the usual attributes and variables control charts as well as exponentially weighted moving average (EWMA) charts and control of short and small run processes.
Chapter Eight covers more advanced topics in Six Sigma, including design of experiments (DOE), response surface methods (RSM), chi-square contingency table and cross-tab analysis. The role of data mining in Six Sigma is discussed, as well as some commonly used data mining techniques such as artificial neural networks. The relationship between data mining and the traditional quality methods is discussed; for example, how to use neural nets to conduct "soft DOE." An overview of reliability engineering applied to Six Sigma is provided, including reliability calculation for series systems using the exponential distribution, reliability apportionment, and computer simulation using Monte Carlo. The use of risk assessment tools is described, including FMEA and fault tree analysis. Product safety issues are discussed and safety calculations described. Finally, the issue of statistical tolerancing is discussed.
Posted November 27, 2000
In general, the book is a good reference for those seeking information on the six sigma tools. However, some tools are explained in detail while others are just in passing. The biggest weakness of the book is its lack of an integrated process for the deployment of six sigma. It is a statistics/quality assurance sciences book with a six sigma twist to it.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.