Gosset for Windows

Yes, you can run Gosset on a Windows computer.

Thanks to the free software, Cygwin, Gosset can run on a Windows computer.

You can get everything you need to run Gosset on your computer with Windows XP or Vista by calling (866) 683-6173 and requesting the CD for Gosset for Windows. When you have your CD, watch our video to learn how to install it. Beware -- installation is not for the feint-hearted! You may want help from your IT department.

Good luck!

Bill Kappele.

A Design of Experiments case study using the Objective Design of Experiments 7 Steps is featured in Quality Digest this month.

US Synthetic, a manufacturer of synthetic diamond compacts for the oil drilling industry, used the 7 Step process to improve the quality of one of their excellent products.

You can read their story here.

One of the most common questions I have been asked is, "What sample size do I need for ... ." The "for ..." can mean "confidence limits of a certain width,"" or 99% reliability with 95% confidence," or "to run a designed experiment with 5 factors and a full quadratic model."

To answer the most common of these "for ..."s I wrote the Sample Size Calculator. You can download a 14 day trial copy from
http://www.objectivedoe.com/software/SampleSize.exe

Here's a complete list of what it includes:

1. Confidence limits


2. t-Tests


3. Cpk


4. Percentages


5. Minimum experiment trials (DoE)


6. Reliability


7. Tolerance limits

If you like it and want to keep using it, you can make a donation of $20 or more to St.Jude Children's Research Hospital at
https://shop.stjude.org/GiftCatalog/express-donation.do?fnl=don_sin

Forward your e-mail receipt to Hero@ObjectiveDOE.com and you will receive
a registration code in a few days.

This is a great way to help children suffering from cancer and calculate sample sizes for your work. You may even be able to claim a tax deduction!

You can learn more at
http://www.objectivedoe.com/software/software.html

Take care,

Bill Kappele.

Taguchi, Factorial, RSM, ... -- Which DOE is Best?

Design of Experiments (DOE) is an elegant technique for efficient, thorough, objective experimentation. It has been around since the 1920's and has been used successfully in industry since the 1950's. This technique is so fundamental that it has been used in numerous experimental strategies -- often with the goals of the particular strategy being mistaken for DOE itself. Design of Experiments includes these features wherever it is used:

1. A mathematical model is chosen to describe the situation under
study.
2. An experiment design is created to collect data in the best way
to fit these data to this model.
3. The data are collected and analyzed using the model initially
chosen.

As an analogy, think of the "model" as a "recipe." You use this to create a "design" or "shopping list." Without the recipe, you can only guess what ingredients you may need.

Without a model, you can only guess which experiments to run. "Analyzing" the data is like putting away the groceries in an organized manner.

So why does DOE have so many names?

Actually, it doesn't -- it just appears to. The names come from various strategies that use DOE. Here is a list of some of the most popular experimental strategies and their goals:
1. Taguchi is interested in finding a "robust" answer to the
experimental question. It seeks an answer that is insensitive
to factor variations and noise. It doesn't predict the best
combination of factors to achieve your goals.
2. "Factorial", or "Classical DOE," was the first technique used
with designed experiments. It allows you to see which factors
are most important and helps you to identify important
interactions among the factors. It doesn't predict the best
factor levels to meet your goals.
3. Response Surface Methodology (RSM) uses your model to
make contour plots of predicted behavior. Using these plots
you can actually predict the best combination of factors to
meet your goals.

All of these strategies use DOE. The way DOE is applied will differ depending on the goals of the strategy, but the DOE technique does not change.

What do you think?

Bill Kappele
Technical Director
Objective Design of Experiments
Bill@ObjectiveDOE.com

"Review of Design Of Experiments" DVD

We have a new DVD that is a complete review of the seven step Objective Design of Experiments method. The software in the DVD is Minitab. It's about 90 minutes-a thorough but concise review for our students, a way for DOE users of other software to see Minitab in action, or a quick way to learn the power of Design of Experiments in product and process development.

http://www.objectivedoe.com/Misc/ReviewDVD.html

Welcome to the Product and Process Development Blog

Welcome!

This blog is for you if are involved in product or process development. It will cover all aspects of the development process, from optimization through setting specifications.

Because experimentation is a major part of every development effort, many posts will be about experimentation -- Design of Experiments, specifically. Posts will cover techniques, software, innovative ideas, and interesting applications.

Posts will also cover Measurement System Analysis, setting specifications, Statistics, and every other phase of the development cycle.

Your comments are welcome and encouraged. Your participation will guide this blog in the direction you want to go.

Teachers and consultants from Objective Design of Experiments will be the blog authors. You can learn more about Objective Design of Experiments at http://www.ObjectiveDOE.com.

Thank you for reading.

Bill Kappele
Technical Director and Instructor
Objective Design of Experiments
Bill@ObjectiveDOE.com