![]() |
|
||
|
|
Are you new to design of experiments (DOE) and not sure where to begin? Stat-Ease offers training, articles, books, software, online tutorials, newsletters, FAQs and DOE Resources, consulting services, and technical support to get you started. Whether you want to solve a specific quality problem, create the perfect product, improve your process, find a cheaper but equally good solution, or validate your process and procedures, Stat-Ease can help. Contact us with questions, suggestions, or comments. Call 612.378.9449 or e-mail us.
Training
The quickest and easiest way to learn design of experiments is to attend a 3-day workshop. The class most suited to beginners is "Experiment Design Made Easy." This computer-intensive workshop covers the practical aspects of DOE. You will learn all about simple, but powerful two-level factorial designs. Maybe you have never studied statistics or have forgotten what you learned in college? If you aren't sure you are ready for a DOE class, take our free Statistics Self-Assessment Quiz. If after taking it you find you need a refresher, sign up for the PreDOE online course. It takes only 3-6 hours to complete. Stat-Ease offers a whole series workshops for beginning through advanced experimenters. For a schedule of upcoming classes and prices, click here. We offer both public and private training. To register for a public workshop online, go to our Workshop Registration page. For training questions e-mail Elicia, the Workshop Coordinator, or call her at 612.746.2038.
Articles Stat-Ease offers a wealth of articles on DOE. If you would like to learn more about this subject, we recommend you begin with the articles below. 1. "Trimming the FAT out of Experimental Methods"—This article is a primer on DOE versus the traditional OFAT method of experimentation. 2. "Trimming the FAT: Part II"—This follow-up article offers a case study that illustrates how a two-level factorial DOE can reveal a breakthrough interaction. 3. "Rethink Experiment Design"—This is another article on DOE versus the traditional OFAT method. 4. "Eight Keys to Successful DOE"—Using DOE successfully depends on understanding eight fundamental concepts which are explained in this article. Click here to go the Articles page and see all available DOE articles and case studies. Also take a look at the Reprints page to see if there are any case studies you would like to have mailed to you.
Books Visit the Stat-Ease bookstore for recommended books on DOE. To get you off to a good start we suggest: 1. "DOE Simplified: Practical Tools for Effective Experimentation, 2nd Edition," by Anderson & Whitcomb—This updated introductory text covers all of the basic essentials and is filled with interesting anecdotes and sidebars that make it fun to read. It comes with 180-day version of Design-Ease 7.1 software so that you can work through the included practice problems. 2. "RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments," by Anderson & Whitcomb—This book is the next step in your DOE education. Its simple and fun approach is for those who desire knowledge on response surface methods, but dislike the academic nature of other books on the topic. It comes with a 180-day version of Design-Expert 7.0 software so that you can work through the included practice problems.
Stat-Ease publishes Design-Ease® and Design-Expert® software for design of experiments. Design-Ease software makes factorial designs easy to set-up and analyze. Design-Expert software does everything Design-Ease does, but also handles mixture/process designs and response surface optimization. Both packages are powerful, but their intuitive user-friendly interface makes them easy enough for any experimenter to use. Try either package free for 45 days. Look here for more information. To order: Phone 612.378.9449 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Online Interactive Tour & Tutorials If you have the software but need help learning how to use it, check out the Design-Expert® 7.1 Online Tour. You will also find it helpful to work through the software tutorials.
1. Design-Expert 7.1 Online Tour—Learn the basics of Design-Expert software by going through a two-level factorial design (the features explained also apply to Design-Ease® software). 2. Design-Expert Tutorials—Become familiar with the software's features and capabilities and work through the problems provided to deepen your understanding. 3. Design-Ease Tutorials—Become familiar with the software's features and capabilities and work through the problems provided to deepen your understanding.
Newsletters, FAQs and DOE Resources Search our web site for answers to your specific questions. You will find a wealth of information in Mark Anderson's monthly e-mail newsletter, the DOE FAQ Alert. Sign up to receive the latest FAQ's, alerts to timely articles, free software updates, and interesting tidbits.
Check out our quarterly newsletter, the Stat-Teaser. In it you will find fun experiments, DOE articles, software and workshop news, and much more. To sign up for the printed edition, e-mail info@statease.com with your full name and address. Be sure and note that you are signing up for the Stat-Teaser. (North America only—all others should sign up for the "DOE FAQ Alert" to be notified when the latest Stat-Teaser is available for download.)
Consulting Services
Consultants from left to right are: Pat Whitcomb, Mark Anderson, Shari Kraber, and Wayne Adams Stat-Ease offers comprehensive consulting services. Most problems are solved for less than $2000. If you don't have the time or resources to learn DOE yourself, contact us for quick and cost-effective help solving your problem. Phone 612.378.9449 Click here for more information. Technical Support Having problems with software installation, activation, or program usage? Stat-Ease offers free technical support to all of its software users. Contact us by phone or e-mail: Phone 612.378.9449
|
|
|
Stat-Ease, Inc.
2021 E. Hennepin Avenue, Suite 480
Minneapolis, MN 55413-2726
e-mail: info@statease.com
p: 612.378.9449, f: 612.746.2069