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UT Six Sigma - Week 2
The rest of the course builds upon the week one foundation and introduces tools that can be used to turn data into information and questions that are designed to turn information into knowledge-knowledge that can be used to make the "right" decision. The goal of each of these tools is to reduce the variation in the output, eliminate defects, and reduce cycle time. The course ends with the complex tools of Statistical Process Control and an emphasis on Design of Experiments, a tool that "interrogates" the process in order to optimize the output and minimize the variation.
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Week 2
Monday
Assignment Debriefing
2-Level Screening Designs
2-Level Modeling Designs
Full Factorial Experiment
Tuesday
Fractional Factorials
Aliasing & Resolution
ANOVA Regression
Historical Data Analysis
3-Level Screening Designs
3-Level Modeling Designs
CCD Experiment
Wednesday
Advanced Topics in DOE
Multiple Response Variables
Variance Reduction Strategies
Robust Designed Experiment
Thursday
New Leadership Paradigms
Motivating People
Managing Your Manager
Conflict Resolution
Open Communications
Driving Out Fear
Becoming a Change Agent
Friday
Program Wrap-Up
Student Projects
Deployment Strategies
Certification Plan
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