Statistical Methods for Six SIGMA : In R&d and Manufacturing
Overview
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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780471203421
- ISBN-10: 0471203424
- Publisher: Wiley-Interscience
- Publish Date: September 2003
- Dimensions: 10.28 x 7.14 x 0.86 inches
- Shipping Weight: 1.79 pounds
- Page Count: 344
Related Categories
