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Clear and organized, this handbook shows engineers how to apply advanced statistical and experimental design methods to improve industrial and manufacturing processes. Throughout the text, concepts are developed in the context of industrial examples, and the use of software is made readily accessible to promote a better comprehension though graphical and statistical analysis. Using a variety of pedagogical techniques and high-quality graphics, Handbook of Experimental Methods for Process Improvement provides an intuitive understanding of the field, enabling engineers to apply the methods discussed to practical applications.
Table of Contents
Introduction to Experimental Design Analysis of Variance Blocking Factorial Designs Screening Designs Optimization Methods
"...a recommended acquisition for the SPC coordinator, the quality improvement engineer, or the manufacturer moving into SPC and TQM." - Quality World
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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