Practical Attribute And Variable Measurement Systems Analysis Msa

This book — a result of 30 years of quality-related work experience — was written to aid quality technicians and engineers. It provides the quality professional working in virtually any industry a quick, convenient, and comprehensive guide to properly conducting measurement systems analysis (MSA). The intent of this book is to provide background and examples on the application of gage R&R methodology (test method validation) for variable and attribute data, help for those who work with devices that don’t fit the usual approach, and ideas for measurement devices that require innovation to assess their performance under off-line, static conditions. The ultimate objective is to determine how best to improve the control and performance of a process. The reader is assumed to be familiar with basic control charting methodology since assessment of statistical control of the measurement process is important. One may wonder why performing a gage R&R is so important; the simple answers are profit, public health, and safety. Companies that are shipping product that is out of specification can be subjected to expensive litigation, especially in the aviation, pharmaceutical, and medical device industries. This book will be a useful reference when preparing for and taking many of the ASQ quality certification examinations, including the Certified Quality Technician (CQT), Certified Calibration Technician (CCT), Certified Quality Inspector (CQI), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), and Certified Reliability Engineer (CRE).

The motivation for this book comes from the author’s extensive experience with trying to apply the standard measurement systems analysis methods to real-world problems that arise in manufacturing and industry. The methods work well for simple systems that are not dynamic and have only two significant sources of error, but leave a lot to be desired in other circumstances. This shortfall is especially clear in the case of attribute measurement systems analysis in which the standard method is far from adequate. This book provides clear procedures for situations in which the part values change or are destroyed. It also provides procedures that work when the measurements are dynamic and cannot be separated from the process. It extends the simple methods to cases in which the measurement systems have several sources of uncertainty. And it completely overhauls the attribute methodology and enables it for many difficult but practical applications. Each extension of the method is detailed in a chapter complete with realistic examples and end-of-chapter summaries called “Take Home Pay” which clue the reader into the key points that are critical for the attempt to enable bottom line success. The reader who uses these methods will find that they can quickly make significant improvement in their destructive, dynamic, and attribute measurement systems with less effort.

This book was written to aid quality technicians and engineers. It is a result of 30 years of quality-related work experience. To that end, the intent of this book is to provide the quality professional working in virtually any industry a quick, convenient, and comprehensive guide to properly conducting design of experiments (DOE) for the purpose of process optimization. This is a practical introduction to the basics of DOE, intended for people who have never been exposed to design of experiments, been intimidated in their attempts to learn about DOE, or have not appreciated the potential of this family of tools in their process improvement and optimization efforts. In addition, this book is a useful reference when preparing for and taking many of the ASQ quality certification examinations, including the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), and Certified Reliability Engineer (CRE).

This book was written to aid quality technicians and engineers. It is a compilation of 30 years of quality-related work experience and the result of frustration at the number of books necessary, at times, to provide statistical support. To that end, the intent of this book is to provide the quality professional working in virtually any industry a quick, convenient, and comprehensive guide to properly utilize statistics in an efficient and effective manner. This book will be a useful reference when preparing for and taking many of the ASQ quality certification examinations, including the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), and Certified Reliability Engineer (CRE). This book is an expansion of the work of Robert A. Dovich in his books Quality Engineering Statistics and Reliability Statistics. It builds on and expands Dovich's method of presenting statistical applications in a simple, easy-to-follow format.

For the past decade, process validation issues ranked within the top six of Food and Drug Administration (FDA) form 483 observation findings issued each year. This poses a substantial problem for the medical device industry and is the reason why the authors wanted to write this book. The authors will share their collective knowledge: to help organizations improve patient safety and increase profitability while maintaining a state of compliance with regulations and standards. The intent of this book is to provide manufacturing quality professionals working in virtually any industry a quick, convenient, and comprehensive guide to properly conduct process validations that meet regulatory and certification requirements. It will aid quality technicians, engineers, managers, and others that need to plan, conduct, and monitor validation activities.

Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

This handbook explains, in detail, each section of the Certified Supplier Quality Professional Body of Knowledge (updated 2023). It is a handy reference for those already working in the field and is an essential text for those working toward a CSQP certification.

This book provides tools that are less commonly used and some tools that the author, Nancy Tague, created. Inside you’ll find tools for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, basic data handling, and statistics. In this third edition, six new tools were added (i.e., DFMEA and PMFEA) along with a section on Quality 4.0 and suggested quality tools that can help facilitate practitioners looking to implement Quality 4.0 concepts. The use of icons with each tool description tells the reader at a glance what kind of tool it is and where it is used within the improvement process.