Executive Overview
This one day training class aims to describe the philosophy of Six Sigma, explain the use of the DMAIC problem solving tool and illustrate the required involvement in introducing a Six Sigma program to a company. The class will allow executives to learn enough about the Six Sigma process to make a knowledgeable decision about further pursuit of Six Sigma development.
DMAIC Workshop - Green Belt
divided into 3 modules, 7 days of training altogether, that span approximately 12 weeks. During the time between classroom sessions teams of participants implement acquired problem solving techniques to improve processes in their company. Each phase of DMAIC as well the entire project is evaluated during Tollgate Reviews and the results are presented to company management.
Session 1 - 3 days
- Introduction to Six Sigma and DMAIC methodology
- DEFINE Tools: Project Charter, GANTT chart, VOC, Kano Analysis, SIPOC, Project Stakeholder Analysis, etc.
- MEASURE Tools: data collection techniques, control charts, CTQ Tree, Stratification, Population Sampling, Sampling Charts, Cost of Poor Quality, Sigma Calculation Worksheet, etc.
Session 2 - 2 days
- ANALYZE Tools: Pareto Analysis, Histogram, Frequency Plots, Scatter Diagrams, Run Charts, Regression and Correlation, Fishbone Diagram, Cross Functional Process Mapping, etc.
Session 3 - 2 days
- IMPROVE Tools: Practicality Scale, Force Field Analysis, Decision Matrix, Impact/Effort Matrix, FMEA, etc.
- CONTROL Tools: Process Management Chart, Process Dashboard, Control Charts etc.
Black Belt Course
The course is intended for people who have obtained a Green Belt certificate and have participated in at least one Six Sigma project.
Course contents: introduction to Minitab software, advanced DMAIC tools, cost of quality, DPMO, attribute and variable gage R&R, capability studies, hypothesis testing and variation analysis (ANOVA), Design of Experiments (DOE), Statistical Process Control.
What is Six Sigma?
Six Sigma is a rigorous team problem solving methodology based on statistical analysis of data. Six Sigma, often associated with DMAIC, is successful by precisely defining the problem, measuring its occurrence and effects, analysis of data to determine root causes and improving the process so the problem never comes back.
The name Six Sigma comes from the Greek alphabet and is used by mathematicians to describe a standard deviation. A process, whether it is fabrication of widgets or bank money transfer, operates on a Six Sigma level if the distribution of its results falls within 6 standard deviations on each side of the average. Such process, according to statistics, on average produces only 3.4 defects per million opportunities. For a customer, it means that the product or service is realistically free of defects.
DMAIC Process
DEFINE - define project scope and goals, gain knowledge about the process and the client
MEASURE - gather information about current process performance
ANALYZE - identify root causes of the problem and confirm them with data
IMPROVE - develop, verify and implement solutions that will eliminate or reduce the effects of root causes
CONTROL - maintain improvement by standardizing work methods and processes