LENGTH: One Hour
This basic Introduction to Design of Experiments (DOE) webinar, which requires no prior knowledge of statistics, covers fundamentals such as factors and levels, hypothesis testing, the need for random samples, and interpretation of results.
This webinar will not go deeply into analysis of experimental results but will illustrate the concepts graphically with box and whisker plots and similar media.
Course participants with no prior knowledge of DOE will understand enough basics to interact effectively with subject matter experts such as industrial statisticians, quality engineers, and Six Sigma practitioners. Managers will understand presentations of experimental results.
What You Will Learn
Participants in this in-depth one-hour webinar will:
- Recognize situations such as process troubleshooting or process improvement in which DOE could be a valuable tool.
- Understand the concepts of factors, levels, and interactions.
- Know how screening experiments such as factorial designs can save an enormous amount of time and money (awareness only, will not go into detail).
- Know the need to keep extraneous variation sources out of the experiment, so the results will be meaningful. (Concepts of randomization and blocking.)
- Know how to plan the experiment by defining the null and alternate hypothesis. Understand the quantifiable risks (Type I and Type II, alpha and beta, or producer's risk and consumer's risk) of obtaining the wrong conclusion.
- This will equip the attendee to understand all applications of industrial statistics, including statistical process control and acceptance sampling, as well as DOE.
- The cost to minimize both risks simultaneously is to assess a bigger sample; nothing is free! (Concept of replication.)
- Know how to interpret the results of the experiment; does it show a significant difference between the control and experimental treatments, or between materials, methods, or tools?
Viewers of the On-Demand webinar get:
- Unlimited viewing of the webinar for one full year, including any updated versions
William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. Levinson is also the author of several books on quality, productivity, and management. Henry Ford's Lean Vision is a comprehensive overview of the lean manufacturing and organizational management methods that Ford employed to achieve unprecedented bottom line results, and Beyond the Theory of Constraints describes how Ford's elimination of variation from material transfer and processing times allowed him to come close to running a balanced factory at full capacity. Statistical Process Control for Real-World Applications shows what to do when the process doesn't conform to the traditional bell curve assumption.
HOW DOES THIS ALL WORK?
After you register for this webinar, you will receive a confirmation e-mail containing a PDF file, which contains a link to view the session and other information. You will also receive an e-mail with a link to access the webinar.
We are so confident that you will find this webinar valuable that we offer a 100% money-back guarantee, making this a risk-free investment. If you are dissatisfied with the webinar, just let us know by phone or e-mail within 24 hours of the conclusion of the webinar for viewers of the live webinar and within 24 hours of your purchase of the On-Demand webinar and we will issue you a full refund.