DescriptionA 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 32 hours and will include detailed instruction, periodic assessments, and a certificate of completion upon successful review. Lesson 1: Design of Experiments
- Discriminate between a test and 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 additional requirements for a designed experiment, including eliminating extraneous variables, 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 Analysis of Variance (ANOVA) table
- Identify the steps in performing a contrast test
- Identify the steps in performing a t-ratio test
Lesson 4: Types of Designs
- Identify the advantages, disadvantages, assumptions and hypotheses related to a completely randomized design
Lesson 5: Completely Randomized Design
- Identify the steps in analyzing the results of an experiment using a completely randomized design
- Analyze the results of a sample experiment using a completely randomized design
Lesson 6: Completely Randomized Block Design
- Identify the steps in analyzing the results of an experiment using a completely randomized block design
- Analyze the results of a sample experiment using a completely randomized block design
Lesson 7: Latin Square Design
- Identify the steps in analyzing the results of an experiment using a Latin Square design
- Analyze the results of a sample experiment using a Latin Square design
Lesson 8: Full Factorial Designs
- Identify the steps in analyzing the results of an experiment using a full factorial design
- Analyze the results of a sample experiment using a full factorial design
Lesson 9: Fractional Factorial Design
- Identify the steps in analyzing the results of an experiment using a fractional factorial design
- Analyze the results of a sample experiment using a fractional factorial design
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