Description A Design of Experiment (DOE) is a structured method for determining the relationship between factors affecting a process and the output of that process. The Design of Experiments course will teach students how to apply DOEs to the execution of quality initiatives. Course content focuses heavily on the scientific and statistical methods involved in planning and analyzing DOEs in order to yield practical results. Some understanding of basic statistical methods will be needed to complete this course. Participants who wish to identify and manage important process variables, as well as their effect on quality and productivity improvement, will benefit from this course.
The course length is 4 hours and will include detailed instruction, periodic assessments, and a certificate of completion upon successful review. Lesson 1: Design of Experiments
- Identify the characteristics of an experiment
- Identify the characteristics of the scientific method
- Identify proper use of the scientific method in an experiment
- State the importance of designing experiments
- Identify aspects of the methodology of design of experiments, including experimental geometry and response mapping
- Match basic terms used in design of experiments with their definitions
- Recognize the advantages of design of experiments over classical experimentation techniques
- Identify ways in which variables in an experiment may interact
- Identify the steps in designing an experiment and the tasks involved in each step
Lesson 2: Planning a Design of Experiment
- Identify the qualities of a designed experiment
- Create appropriate objectives for an experiment
- Identify response variables and their significance
- Recognize, define and classify independent variables in an experiment
- Identify three ways to eliminate extraneous variables
- Identify additional requirements for a designed experiment, including balance, orthogonality, error measurement, appropriate sample size and simplicity
Lesson 3: Analyzing a Design of Experiment
- Identify the procedure for testing a hypothesis using data from an ANOVA table
- Identify the steps in performing a t-ratio test
Lesson 4: Types of Designs, Part One
- Completely randomized design
- Completely randomized block design
- Incomplete randomized block design
- Latin Square design
Lesson 5: Types of Designs, Part Two
- Full factorial design
- Fractional factorial design
|
|
UL University's workshops are designed for and intended to serve individuals using and relying upon UL services. UL University reserves the right to limit workshop attendance strictly to the foregoing. In addition, UL University reserves the right to change, reschedule or cancel any workshop at any time. UL shall not be responsible for any consequential or other losses resulting from the cancellation or postponement of this workshop such as airline and other travel/personal expenses.
UL University accepts the following forms of payment for registration: Visa, MasterCard, American Express and Invoice/PO. Please note that Invoice/PO is not accepted for online courses.
|