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Six Sigma Green Belt

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Course Details

Six Sigma Green Belt

Duration: 6 Days

Course Description:

GREEN BELTS are functional change agents who deliver impactful improvements within their work area using Six Sigma methodology. They also work as a supporting pillar to Black Belts on cross-functional projects across organization.

This 6-day intensive Green Belt Program provides participants with an overview of Six Sigma as well as key concepts associated with building effective project teams. Green Belts receive a subset of the Black Belt curriculum with intermediate-level quality tools within the Six Sigma methodology.

Course Objective:

Participants will be able to:

•    Achieve breakthrough results through the application of the structured DMAIC methodology in solving functional problems.
•    Apply quantitative techniques to make effective fact-based decisions.
•    Display the linkage between projects and desired departmental goals.
•    Lead subject matter experts within the organization to increase functional group efficiency.
•    Manage & facilitate improvement project teams within their functional groups.
•    Lead & manage change within their functional groups.
•    Communicate effectively within the organization.

Intended Audience:

This training is designed for Engineers, Supervisors, Group Leaders, Executives, Officers that need the requisite skills & knowledge in most of the Six Sigma fundamental tools.    

Course Outlines:

Phase 1: Define, Measure & Analyze
•    What is Six Sigma
•    The DMAIC Approach
•    Process Mapping
•    Data Collection & Graphical Tools
•    Descriptive Statistics
•    Measurement System Analysis
•    Process Capability Study
•    Cause & Effect Analysis
•    Process Variation Reduction

Phase 2: Analyze, Improve and Control 
•    Failure Mode & Effect Analysis      
•    Hypothesis Testing      
•    Analysis of Variance      
•    Correlation & Simple Linear Regression     
•    Solution Identification, Evaluation & Improvement Planning
•    Process Control & Standardization
•    Variable Control Charts
•    Attribute Control Charts