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 Name |  Fees | |
|---|---|---|
| Certified Six Sigma Green Belt (Exam Cost Included) | $ 2258.25 | Register Now |
What you will learn
Why organizations implement Six Sigma and the relationship between lean concepts and Six Sigma
How to apply Six Sigma in product and process design and apply the voice of the customer (VOC) to the voice of the process (VOP)
How to incorporate high-performing team concepts
How to apply process control as a replacement for appraisal/inspection
How to use statistical distributions and apply design of experiments (DOE)
How you will benefit
You will be prepared for the Lean Six Sigma Green Belt Certification exam
You will be prepared for careers such as Process Improvement Analyst, Six Sigma Green Belt Consultant, Quality Control/Quality Assurance Supervisor, Quality Technician, and more
Upon completion, you will have access to the ASQ Certified Six Sigma Question Bank and the ASQ Certified Six Sigma Associate Membership
How the course is taught
Self-paced, online course
6 Months to complete
Open enrollment, begin anytime
120 course hours
Six sigma and organizational goals
Value of six sigma
Organizational goals and six sigma projects
Organizational drivers and metrics
Lean principles in the organization
Lean concepts
Value-streaming mapping
Design for six sigma (DFSS) methodologies
Road maps for DFSS
Basic failure mode and effects analysis (FMEA)
Design FMEA and process FMEA
Voice of the customer (VOC), Project identification, Project management basics
Customer identification
Customer data
Customer requirements
Project selection
Process elements
Benchmarking
Process inputs and outputs
Owners and stakeholders
Project charter
Project scope
Project metrics
Project planning tools
Project documentation
Project risk analysis
Project closure
Management and planning tools, Business results for projects
Process performance
Communication
Team dynamics and performance
Team stages and dynamics
Team roles and responsibilities
Team tools
Team Communication
Process analysis and documentation, Probability and statistics
Basic probability concepts
Central limit theorem
Statistical distributions
Collecting and summarizing data
Types of data and measurement scales
Sampling and data collection methods
Descriptive statistics
Graphical methods
Measurement system analysis (MSA)
Process and performance capability
Process performance vs. process specifications
Process capability studies
Process capability (Cp, Cpk) and process performance (Pp, Ppk) indices
Short-term vs. long-term capability and sigma shift
Exploratory data analysis
Multi-vari studies
Correlation and linear regression
Hypothesis testing
Basics
Tests for means, variances, and proportions
Design of experiments (DOE)
Basic terms
DOE graphs and plots
Root cause analysis, Lean Tools
Waste elimination
Cycle-time reduction
Kaizen and kaizen blitz
Statistical process control (SPC)
SPC Basics
Rational subgrouping
Control charts
Control plan, Lean tools for process control
Total productive maintenance (TPM)
Visual factory
