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Leading Six Sigma
In Leading Six Sigma, two of the world's most experienced Six Sigma leaders offer a detailed, step-by-step strategy for leading Six Sigma initiatives in your company. Top Six Sigma consultant Dr. Ronald D. Snee and GE quality leader Dr. Roger W. Hoerl show how to deploy a Six Sigma plan that reflects your organization's unique needs and culture, while also leveraging key lessons learned by the world's most successful implementers. Snee and Hoerl share leadership techniques proven in companies both large and small, and in business functions ranging from R & D and manufacturing to finance. They also present a start-to-finish sample deployment plan encompassing strategy, goals, metrics, trainin...
Statistical Thinking
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
Statistical Roundtables
Quality Progress, the flagship journal of ASQ, has been publishing the column Statistics Roundtable since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas. The book co...
Six Sigma Beyond the Factory Floor
"This book dispels the myth that Six Sigma is limited to the manufacturing process by providing compelling examples of transactional successes combined with a guide to practical deployment." –Paul J. Norris, Chairman and Chief Executive Officer, W. R. Grace & Co. "Ronald D. Snee and Roger W. Hoerl provide a compelling, fact-based, example-supported argument on the importance of improvement of nonmanufacturing processes within a manufacturing company. This valuable book completes the authors' "trilogy" of books on improving business performance via statistical thinking and Six Sigma, and is a welcome addition to the library of any individual or company engaged in this pursuit of excellence....
Nonclinical Statistics for Pharmaceutical and Biotechnology Industries
This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.
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Leading Six Sigma
In Leading Six Sigma, two of the world's most experienced Six Sigma leaders offer a detailed, step-by-step strategy for leading Six Sigma initiatives in your company. Top Six Sigma consultant Dr. Ronald D. Snee and GE quality leader Dr. Roger W. Hoerl show how to deploy a Six Sigma plan that reflects your organization's unique needs and culture, while also leveraging key lessons learned by the world's most successful implementers. Snee and Hoerl share leadership techniques proven in companies both large and small, and in business functions ranging from R & D and manufacturing to finance. They also present a start-to-finish sample deployment plan encompassing strategy, goals, metrics, trainin...
Statistical Case Studies for Industrial Process Improvement
This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.
