The following is a chapter from the fully updated and revised The Six Sigma Handbook, Third Edition. It covers the management systems and statistical tools that are the foundation of Six Sigma. The book's presentation is based on the DMAIC (Define, Measure, Analyze, Improve, Control) implementation strategy for Six Sigma, with focus on the management responsibilities and problem-solving methodologies.
The most complete, current guide to Six Sigma “Best practices in Six Sigma are continuously evolving, just as Six Sigma itself evolved from earlier best practices in quality improvement. ...This fourth edition...(features) expanded materials on innovation, strategic development, Lean, and constraint management. ...You’ll notice many references to free online materials within the text, such as Excel file templates that can be used for analyzing projects, or videos that provide an in-depth narrative on specific topics. Additional links will be added over time to further extend the learning potential offered by the text, so be sure to regularly check back into the online site at https://www.mhprofessionalresources.com/sites/ssh4/.”—From the Preface by Paul Keller The Six Sigma approach is being used to vastly improve processes, profitability, sustainability, and long-term growth at global organizations of all sizes. Fully revised for the latest developments in the field, The Six Sigma Handbook, Fourth Edition, reveals how to successfully implement this improvement strategy in your company. The book explains how to define and deploy Six Sigma projects focused on key stakeholder requirements and carry out data-driven management. This comprehensive resource walks you through the phases of DMAIC and DMADV and demonstrates how to use the statistical tools and problem-solving techniques of Six Sigma with screenshots of Minitab and Excel applications. The new edition has been updated to include: Two online quizzes for Six Sigma certification, one for Green Belt candidates and one for Black Belt candidates Links to five videos that walk you through specific processes, such as Minitab functions, statistical process control, and how to read a Pareto chart Fully incorporated coverage of Lean methodologies Find out how to select the right personnel to train, achieve technical proficiency, build the best teams, and foster effective leadership. Improve the quality of processes and products in your organization, increase customer satisfaction, and boost profits with help from this definitive guide to Six Sigma. Written by two of the foremost authorities on the subject, this authoritative resource delivers all of the guidance you need to successfully implement Six Sigma. Comprehensive coverage includes: Building the responsive Six Sigma organization Recognizing and capitalizing on opportunity Data-driven management Maximizing resources Project management using DMAIC and DMADV The define phase The measure phase Process behavior charts Measurement systems evaluation The analyze phase The improve/design phase The control/verify phase
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.
This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.
The most important reference to Six Sigma―fully updated for the latest advances This thoroughly revised, industry-standard guide delivers all the information you need to apply Six Sigma techniques and dramatically improve processes, profitability, sustainability, and long-term growth. Written by two of the foremost authorities in Six Sigma, the book shows you, step by step, how to build the best teams and foster effective leadership while maximizing customer satisfaction and boosting profits. This new edition features a number of important updates, including AI, big data and machine learning, healthcare statistics, and modern supply chain challenges. This hands-on resource also lays out cutting-edge applications for social media data, decision trees, remote technology, and web scrapers. Coverage includes: Six Sigma implementation and management Recognizing and capitalizing on opportunity Data-driven management Selecting and supporting Six Sigma projects Six Sigma tools and techniques The define phase The measure phase Measurement systems evaluation The analyze phase The improve/design phase The control/verify phase
This reference manual is designed to help those interested in passing the ASQ's certification exam for Six Sigma Green Belts and others who want a handy reference to the appropriate materials needed to conduct successful Green Belt projects. It is a reference handbook on running projects for those who are already knowledgeable about process improvement and variation reduction. The primary layout of the handbook follows the ASQ Body of Knowledge (BoK) for the Certified Six Sigma Green Belt (CSSGB) updated in 2015. The authors were involved with the first edition handbook, and have utilized first edition user comments, numerous Six Sigma practitioners, and their own personal knowledge gained through helping others prepare for exams to bring together a handbook that they hope will be very beneficial to anyone seeking to pass the ASQ or other Green Belt exams. In addition to the primary text, the authors have added a number of new appendixes, an expanded acronym list, new practice exam questions, and other additional materials
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: Cutting-edge, Lean Six Sigma concepts integrated throughout Completely revised material focused on project objectives Updated and expanded problem-solving examples using Excel and Minitab A streamlined format that puts proven practices at your fingertips 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: Dramatically improve products and processes using DMAIC and DMADV Use Design for Six Sigma to create innovative products and processes Incorporate lean, problem-solving, and statistical techniques within the Six Sigma methodology Avoid common pitfalls during implementation 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.
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
This handbook is a helpful guide to Six Sigma process improvement and variation reduction. Individuals studying to pass the ASQ Certified Six Sigma Yellow Belt (CSSYB) exam will find this comprehensive text invaluable for preparation, and it is also a handy reference for those already working in the field. The handbook offers a comprehensive understanding of the Body of Knowledge (BoK), which will allow readers to support real Six Sigma projects in their current or future roles. This handbook, updated to reflect the 2022 BoK, includes: - A detailed explanation of each section of the CSSYB BoK - Essay-type questions in each chapter to test reading comprehension - Numerous appendices, a comprehensive list of abbreviations, and a glossary of useful terms - Online contents, including practice exam questions - Source lists, which include webinars, tools and templates, and helpful publications
