Six Sigma: Quality Improvement with MINITAB
Six Sigma: Quality Improvement with MINITAB
Quality Improvement should be something everyone strives to achieve in the workplace, whether in manufacturing, services or healthcare. There are numerous strategies for Quality Improvement, but none to rival Six Sigma, both in terms of growing popularity, and the emphasis that it places on the use of statistical methods. Six Sigma Quality Improvement with MINITAB explains the most important statistical methods employed in Six Sigma and demonstrates their implementation via the very popular, and user-friendly, statistical software package MINITAB (Release 14).Introduction to key statistical methods for Quality Improvement using MINITAB.Minimal prior knowledge of statistical methods and no prior knowledge of MINITAB assumed.Easy-to-follow guidance for Six Sigma Green and Black Belts and others involved in Quality Improvement.Provides informative follow-up exercises, from a wide variety of scenarios, on each topic.Employs random data generation in MINITAB to aid understanding of key stat
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Price: $ 75.99
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Very Good Book!,
Well out of the Minitab books available in the market this is one of the best. Compared to Quinns handboook, I would say this go in depth, however presentation wise Quinns book is more simpler.This one is more text heavy. The book is based on Minitab version 15 and hope they will come up with another version to suit Minitab version 16.Good book to own. After buying the book make sure you make corrections based errata given.
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|Statistical Quality tools,
Easy to read, the Control process quality tools are explained with a good detail. DoEs and RSM are not so in details but they are a bit out of the scope of the book. You can reach the files of the excercise by dowloading them from the Internet site, so there is no need to “add more weight” with a CD. Reading it, it is not wasting your time.
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|Perfect blend of practical MINITAB and theoretical Six Sigma,
Immanuel Kant, the great German philosopher, once said that “experience teaches nothing without theory, but theory without experience is mere intellectual play”. In my opinion, he might as well have been referring to this text by Henderson, since it is the perfect blend of practical MINITAB and theoretical Six Sigma. Graphical and textual MINITAB output is interspersed abundantly alongside discussions on how to use the software appropriately. The many example illustrations are extremely helpful to the most novice Six Sigma practitioner, but this text can be used far beyond Green Belt training. Henderson discusses data analysis, statistical models, control charts, process capability, and process experimentation etc while always providing the statistical formulas that MINITAB uses behind the user interface to enable readers advanced understanding of the software in case they are interested. Occasionally, the author includes diagrams that are not creatable by MINITAB (e.g. the power curve for the statistical test in his chapter on process experimentation with a single factor), but he promptly discloses such situations. Well recommended!
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