Six Sigma Green Belt is the leader of six Sigma improvement project, the backbone of six Sigma methodology in enterprises and the disseminator of six Sigma improvement culture. Compared with the black belt, the green belt does not need to master too complicated mathematical statistics theory and depth tools, but only needs to master the thinking logic of Six Sigma methodology, and can operate statistical analysis software (such as Minitab) and correctly interpret it, so as to lead the team to implement the improvement of Six Sigma green belt project under the guidance of the black belt or black belt masters. Because the green belt is directly distributed in the front line of production and operation, cultivating a high-quality green belt team plays a key role in the top-down implementation and continuous promotion of the six sigma concept.

"Six Sigma Green Belt Practice Training Workshop" will teach Six Sigma methodology and its tools and methods according to the improvement path of D-M-A-I-C (definition, measurement, analysis, improvement and control) project, and combine practical case studies and field experiments to teach.

D-M-A-I-C

program objective

Middle and senior managers of enterprises, key personnel in R&D technology, quality, equipment, manufacturing, administration and other departments, key personnel in charge of improving and innovating projects, and people interested in this course. After the training, the students who pass the examination will receive the training certificate of Six Sigma Green Belt (SSGB) issued by Tian Jian consulting organization.

learning target

1, familiar with the significance of quality to enterprises.

2. Be familiar with the development background of Six Sigma methodology and what it can bring to enterprises.

3. Be familiar with the selection process and standards of the six improvement projects of Yima, as well as the description methods of the project topics.

4. Understand the DMAIC improvement path of Six Sigma methodology and the core output of each stage.

5. Understand the application of statistical methods in the improvement of DMAIC, including SPC, MSA, DOE, ANOVA, hypothesis testing, correlation and regression.

6. Be able to lead the team to implement project improvement independently.