Industrial Statistics Practical Methods and Guidance for Improved Performance [#440957]

Industrial Statistics: Practical Methods and Guidance for Improved Performance By Anand M. Joglekar(auth.)
2010 | 280 Pages | ISBN: 0470497165 | PDF | 4 MB
HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCEIndustrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics.Content: Chapter 1 Basic Statistics: How to Reduce Financial Risk? (pages 1-26): Chapter 2 Why Not to Do the Usual t?Test and What To Replace it With? (pages 27-47): Chapter 3 Design of Experiments: Is it Not Going to Cost Too Much and Take Too Long? (pages 48-76): Chapter 4 What is the Key to Designing Robust Products and Processes? (pages 77-100): Chapter 5 Setting Specifications: Arbitrary or is There a Method to It? (pages 101-120): Chapter 6 How to Design Practical Acceptance Sampling Plans and Process Validation Studies? (pages 121-137): Chapter 7 Managing and Improving Processes: How to Use an At?a?Glance?Display? (pages 138-158): Chapter 8 How to Find Causes of Variation by Just Looking Systematically? (pages 159-173): Chapter 9 Is My Measurement System Acceptable and How to Design, Validate, and Improve It? (pages 174-189): Chapter 10 How to Use Theory Effectively? (pages 190-206): Chapter 11 Questions and Answers (pages 207-250):