Quality by Experimental Design
Quality by Experimental Design – 4th Edition | Book Publication Announcement
Quality by Experiment Design is due for release February 17, 2016. Are you interested in designing experiments that try to solve technical problems tied to strategic business, productivity or innovation initiatives? If so, then Quality by Experimental Design is a great companion text that will help you design, conduct, and analyze experiments. Quality by Experiment Design is a proven, practical text for newcomers and seasoned practitioners in Engineering, Applied Science, Quality, and Six Sigma.
In today’s environment, companies face stiff competition. If companies can’t be productive they won’t survive. To survive, companies need to conduct R&D and develop new products. They also need to reduce their consumption costs in raw material, labor and energy. They also need to reduce production interruptions, increase production output and improve product quality. All of this is not an easy task. Imagine all the technical problems trying to conduct R&D, develop new products, and improve productivity!
So many times, Quality Engineers face problems that are beyond their current know-how. In the search for knowledge they may pursue inefficient trials that result in a sub-optimal solution. Ultimately the technological base level doesn’t improve and productivity falls short. But these same problems can be efficiently addressed using statistically designed experiments.
As Engineers and Quality Practitioners, we need to learn how to increase our engineering knowledge and build Quality into everything we make. To do so, we need to learn how to achieve Quality by Experimental Design.
Quality by Experimental Design is the perfect companion text that Engineers, Six Sigma and Quality practitioners can employ to evaluate & improve systems. Quality by Experimental Design is an applied text that provides a solid foundation for learning. Using the experimental design methods discussed in this text can help you improve productivity and discover technological advances that result in a competitive edge for your company. More important, large research projects and departments can be funded based on federal government tax refunds when you practice Quality by Experimental Design!
Overview – Quality by Experimental Design, 4th Edition
Features
- Shows how statistically designed experiments help explain and resolve problems resulting from unknown process and product interactions
- Describes how to effectively manage the experimentation phases, from planning to execution
- Presents the mathematical aspects of statistical experimental design in an intuitive way
- Includes many realistic practice problems and examples involving modern computer solutions
Summary
Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of Resources.
Written by longtime experimental design guru Thomas B. Barker and Experimental Development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze statistical experiments, drive process and product innovation, and improve productivity. The book presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models.
New to the Fourth Edition
- Updated computer programs used to perform simulations, including the latest version of Minitab®
- Four new chapters on mixture experiments: Introduction to Mixture Experiments, The Simplex Lattice Design, The Simplex Centroid Design, and Constrained Mixtures
- Additional exercises and Minitab updates
A Proven, Practical Guide for Newcomers and Seasoned Practitioners in Engineering, Applied Science, Quality and Six Sigma
This bestselling, applied text continues to cover a broad range of experimental designs for practical use in applied research, quality and process engineering, and product development. With its easy-to-read, conversational style, the book is suitable for any course in applied statistical experimental design or in a Six Sigma program.
Publishers website: Quality by Experimental Design | 4th Edition
Dear Andrew,
May I know how the K1 constant changed from 4.56 to 0.8862 fro trial of 2 is MSA?
Thank Q very much
The K1 constants used in AIAG’s MSA manual changed across editions. In the past, the K1 constant for 2 replicate readings per part was K1 = 4.56. It has since changed to 0.8862.
If memory serves me correctly, the MSA manual defines the spread as 5.15 standard deviations. Now, to estimate the spread we first need to estimate the standard deviation. Recall, the standard deviation is estimated based on the average range divided by the d2 constant. Since d2 is in the denominator, if we take the inverse we get 0.8862 (1/d2 = 0.8862). So we can now estimate the standard deviation by multiplying the average range by 0.8862. Now to estimate the spread we would multiply by 5.15 which yields 4.56 (0.8862 * 5.15 = 4.565).
The reason why the K1 constant has changed from 4.565 to 0.8862 has to do with the fact we are not estimating the spread. As such, the need to multiply by 5.15 becomes a redundant computation when we can compute the %GRR knowing the standard deviation due to repeatability, reproductibility, part-to-part and total.
I trust this answers your question. If I am error or if additional clarification is need, please let me and I will consider writing a post on this topic.
Best Regards,
Andrew