Course No. DOE11
Introduction to Designed Experiments(DOE)
Description:
A fast track course designed to impart functional knowledge of DOE to the busy professional. This interactive workshop is designed to impart basic concepts in DOE and get them started on simple DOE applications and analysis. Building on the prior courses in Applied Statistics, and Statistical Process Control it leads you through a structured approach to experimentally determining the variables (or factors) that matter the most. You will be able to determine the ones that tend to shift the mean, as well as the ones that influence variation. Interactions between variables can also be studied, unlike traditional one at a time experimental methods. Use of software is also covered as part of the class.
Benefits:
- Understand how DOE relates to the customer's requirements regardless of the nature of your business / operation
- Identify critical variables (or factors) that influence the mean and standard deviations
- Study interactions of variables if they exist
- Know the pre-requisites before meaningful DOE can be undertaken
- Create / improve products, services, faster
- Prepare the foundation for higher level courses in Designed Experiments
Topics Covered:
- A quick overview of Applied Statistics
- Design types and selection
- Orthogonality
- 2 level and 3 level designs
- Running a 2 level experiment
- Prediction equations, and testing the same
Pre-requisites: Applied Statistics, Statistical Process Control (Desirable)
Duration: 1 Day
Suggested Audience: All professionals
Participants: Maximum: 20 participants
Books and Materials: Provided by the instructor / TEAM 2000
Presented By: