Lesson 1: Why Use Design of Experiments and Taguchi Methods?
Mukul Mehta, Cleveland, Ohio
DOE Expert with 30 years industrial experience in Design of Experiments
Are you a practicing scientist or engineer?
Do you work in R&D, Manufacturing or Engineering?
Do you wish that there was a proven scientific method for solving technical problems in (a) product development and (b) process improvement that can be applied again and again, on different types of problems, in different industries, and with high success rate?
Then you have come to the right place.
Who is the author?
I am Mukul Mehta. In case you have not heard about me, I graduated from Department of Chemical Technology, University of Bombay in 1968 with a degree in Chemical Engineering. It is “the best school/college” for Chemical Engineering in India. In my day, to get admitted, you had to be academically gifted, and be in top sixty students nationwide. I was lucky enough to be one of those.
I decided to pickup a Masters degree in chemical Engineering from The Ohio State University in USA. I did.
While at Graduate School, I read about an interesting seminar announcement: “Applied Statistics for Industrial Product Development.” A visiting faculty member was going to talk about a statistical and mathematical approach to product development and optimization. I was intrigued. I attended the seminar and it changed my focus, my career and professional life. The visiting faculty member introduced us to the use of Design of Experiments, empirical modeling, and how to use this approach to reduce laboratory experimental effort by 50% and more. My first reaction was, “Wow, I can apply these methods to most of my chemical technology related problems.” Well, I enrolled and picked up another graduate degree, in applied statistics with a thesis in the Design of Experiments.
I have over 30 years industrial experience in engineering and in the use of Design of Experiments (DOE) to solve tough industrial problems. I have assisted scientists and engineers in applying DOE on more than 750 industrial projects. I will share with you what I have learned.
More importantly, I will simplify difficult mathematical and statistical concepts and present them in a language that you can learn, grasp, and put it to immediate use.
Here is my guarantee. If you use these techniques on five problems within one year, you will easily double your success rate.
Why use Design of Experiments in R&D?
Using Statistical Methods in the design of experiments and data analysis, you can readily attain benefits like these:
- A 20 to 70% reduction in problem-solving time
- A minimum 50% reduction in cost due to testing, machine time, labor, and materials, and,
- A 200 to 300% increase in the value, quality, and reliability of the information generated.
If you can achieve these types of results on your research projects you will be a hero in your R&D manager’s eyes. And that is a significant achievement.
To read the rest of the tutorial sign up at www.DesignOfExperiments.co.in
Take care.
Mukul Mehta
Mukul Mehta & Associates
25797 Briarwood Court
Cleveland, Ohio, 44145 USA
Phone: 440-808-6700 Fax: 440-808-6767
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