Description
The MPCpS Methodology – Process Optimization book provides an in-depth step-by-step approach to planning, designing, conducting and analyzing statistical-designed experiments to optimize industrial processes.
Using a non-mathematical approach, the author takes a beginner with little knowledge about experimentation and leads him/her to a very comprehensive understanding of the topic of design of experiments (DOE).
It starts with basic single-factor designs and hypothesis testing, to further include factorial designs, full-factorials designs, screening designs, Plackett Burman designs, fractional factorial, saturated and finally Taguchi’s orthogonal array designs.
Process Optimization is a must for individuals involved in all aspects of product and process development, design, characterization and optimization.
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