Statistical Methods for Six Sigma

Beschreibung

A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-basedguidance to research and development as well as to manufacturing.Understanding the concepts and specific steps involved in eachstatistical method is critical for achieving consistent andon-target performance. Written by a recognized educator in the field, StatisticalMethods for Six Sigma: In R&D and Manufacturing is specificallygeared to engineers, scientists, technical managers, and othertechnical professionals in industry. Emphasizing practicallearning, applications, and performance improvement, Dr. Joglekar?stext 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 systems This long-awaited guide for students and professionals inresearch, development, quality, and manufacturing does not presumeany prior knowledge of statistics. It covers a large number ofuseful statistical methods compactly, in a language and depthnecessary to make successful applications. Statistical methods inthis book include: variance components analysis, variancetransmission analysis, risk-based control charts, capability andperformance indices, quality planning, regression analysis,comparative experiments, descriptive statistics, sample sizedetermination, confidence intervals, tolerance intervals, andmeasurement systems analysis. The book also contains a wealth ofcase studies and examples, and features a unique test to evaluatethe reader?s understanding of the subject.

Autor*in

Anand M. Joglekar

Themen in »Statistical Methods for Six Sigma«

Chemie Chemistry Engineering Statistics Forschung und Entwicklung Lebensmittelindustrie Mathematik / Wahrscheinlichkeitstheorie, Statistik Produktion Qualitätssicherung in der Chemie Quality Assurance Statistics Statistik Statistik in den Ingenieurwissenschaften

Stimmen zu »Statistical Methods for Six Sigma«

"I highly recommend this book to anyone interested in applyingstatistics to solve problems." (Journal of Food Quality,October 2004) "...an interesting collection of material in nice summaryform..." (Journal of the American StatisticalAssociation, December 2004) "Overall, Statistical Methods for Six Sigma in R & D andManufacturingoffers some good insights and practical views ofthe statistical concepts covered." (Technometrics, August2004, Vol. 46, No. 3) "...covers a large number of useful statistical methodscompactly...contains a wealth of case studies and examples..."(Food Trade Review, May 2004) "...can be used as a reference or as a self-study...alsoas a textbook for an engineering statisticscourse...recommended..." (E-Streams, Vol. 7, No.3)
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