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Statistical Quality Control
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python ...
Statistics and Probability with Applications for Engineers and Scientists
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probabili...
Statistical Quality Control for the Six Sigma Green Belt
This book is a desk reference and instructional aid for those individuals currently involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical “alarm bells” that send signals when there are one or more problems with a particular process. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.
Lean Six Sigma for the Healthcare Practice
This book is for those in healthcare practices whose customers/payers may be encouraging or requiring them to use Lean Six Sigma in the workplace, or to simply improve the way healthcare is being provided. The book is intended to be a basic, easy-to-read, quick and handy reference to the process improvement topics that are so important in healthcare. The first seven sections of the book cover the basics of Lean Six Sigma (“What is Lean Six Sigma?” through a “Lean Six Sigma Road Map for the Practice”) and how it can be applied and implemented in the Practice. The remainder of the pocket guide gives a brief description of the various tools and methodologies used in Lean Six Sigma. Each discussion has purposefully been kept short and simple to allow for basic understanding. Also included are tips of how or when to use the tool.
Statistics and Probability for Engineers and Scientists
* Low-priced Format: The Preliminary Edition is paperback, and the price is a fraction of the cost of a typical new textbook for the engineering statistics course. * Simple, easy-to-read format: The Preliminary Edition is in a clean manuscript style. The first edition will have professionally designed two-color pages, and illustrations. * The Preliminary Edition includes instructions for the three most popular software tools (Minitab, JMP, and Microsoft Excel). * Software Integration: MINITAB, Microsoft Excel, and JMP. The text incorporates the three most popular software tools -- MINITAB and Microsoft Excel throughout, and JMP at the end of each chapter. This step-by-step approach to the us...
Process Improvement Using Six Sigma
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.
Applied Statistics for the Six Sigma Green Belt
Applied Statistics for the Six Sigma Green Belt is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. Ites specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.
The Certified Quality Inspector Handbook
The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure that products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as codified in the American Society for Quality (ASQ) Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the ASQ CQI BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work with the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and inter...
Practical Design of Experiments (DOE)
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).
Process Quality Control
Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data.In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.
