statistical methods sigma manufacturing von joglekar (6 Ergebnisse)

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780471203421.

hardcover. Zustand: Wie neu. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 237531,238939 Sprache: Englisch Gewicht in Gramm: 830.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Hardcover. Zustand: Brand New. 1st edition. 344 pages. 10.00x7.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - A guide to achieving business successes through statistical methodsStatistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance.Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar's text shows today's industry professionals how to:\* Summarize and interpret data to make decisions\* Determine the amount of data to collect\* Compare product and process designs\* Build equations relating inputs and outputs\* Establish specifications and validate processes\* Reduce risk and cost-of-process control\* Quantify and reduce economic loss due to variability\* Estimate process capability and plan process improvements\* Identify key causes and their contributions to variability\* Analyze and improve measurement systemsThis long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader's understanding of the subject.