Six Sigma is a complete methodical approach to problem solving. Six Sigma's step-by-step process of interventions and strong analysis techniques help businesses to identify where the root causes are, analyze, improve contributing factors and control the gains in improvements. Whether your company is large or small, whether it manufactures a product or provides a service to its customers (or a mix of both), it can benefit from the tools and techniques of Six Sigma.
Yellow Belts help in gathering data, participating in problem solving. Black Belts and Green Belts rely on Yellow Belts.
A Lean Six Sigma Yellow Belt possesses an understanding of the aspects within the phases of Define - Measure - Control (D-M-C).
Who Should Attend?
Six Sigma problem solving approach is broad based in its application and includes healthcare, finance, manufacturing, government, or any other type of service or product based industry.
To participate in this training you do not need prior knowledge of Six Sigma methodology, Statistical knowledge and experience in Minitab. Basic high school level math and reading skills will be sufficient.
This 2 days Lean Six Sigma Yellow Belt training program covers some hands-on training in the use of Minitab and MS Excel 2013 in data analysis, creating charts and reports.
Introduction to Six Sigma
Difference between Lean and Six Sigma
Toyota Production System. The TPS based on JIT, Jidoka, Heijunka, Kaizen and Standardization
The breakthrough equation of Six Sigma
DMAIC DMADV DFSS
Identify, prioritize and select the improvement opportunity
Develop business case and Project Charter
Identify team members
Develop an effective team
Identify customers and customer requirements
Define and map processes to be improved
The Seven Management Tools
Determine what to measure
Develop baseline data and collection plans
Evaluate variation with Run charts, Histograms, X-Bar charts
Evaluate the measurement system
Determine process performance
Identify potential root causes
Pareto Chart to identify "crucial few" and "Trivial many"
Implement comparative methods
Identify sources of variation
Hypothesis Testing with Chi-square Test, T-Test, ANOVA