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Provided by: Serebra Learning Corporation Design and Analysis |
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Training
Provided by Serebra Learning Corporation
In the Six Sigma Improve phase, organizations are aiming to evaluate which process inputs have the most significant impact on the process output. Only by effective experimental design and subsequent analysis can organizations pinpoint areas for improvement. This course will enable you to choose between process methods, determine the most effective process, and take into account all of the necessary factors by designing and analyzing full factorial experiments, fractional factorial experiments, and experiments for special cases, such as Plackett-Burman, Box-Behnken, and Central Composite Design (CCD). Six Sigma is a registered Trademark of Motorola Corporation, and all right, title, and interest in Six Sigma belongs to Motorola. Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project
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Design and Analysis
Audience
Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project
Topics
Objectives
- Designing Experiments
- recognize the benefits of employing good experimental design.
- match terms relating to full factorial designs with their definitions.
- identify the appropriate full factorial design to determine the controlling factors in a given scenario.
- identify the appropriate fractional factorial design to determine the controlling factors in a given scenario.
- match Latin square designs to corresponding examples.
- match experimental designs with their descriptions.Analyzing Experiments
- recognize the benefits of analyzing experiments effectively.
- sequence the steps for determining y-hat and s-hat prediction equations.
- perform the steps for determining y-hat and s-hat prediction equations for a given set of data.
- select the correct interpretation of the graphical outputs from a given experiment.
About The Training Provider: Serebra Learning Corporation
Serebra Learning Corporation - Serebra Learning Corporation provides technology-based training solutions through a combination of Cortex, its proprietary learning management system (LMS), and a curriculum catalog with over 1, 825 current courseware titles. Founded in 1987 (as FirstClass Systems, with a name change to Serebra in 2001), Serebra has over sixteen years" experience delivering e-learning solutions to both...
