Training on the Lean Six Sigma methodology is organised according to a model inspired by that of Six Sigma. Indeed, there are different certification levels that involve the acquisition of specific skills, named according to a logic similar to that of the karate discipline: yellow belt, green belt and black belt.
Lean Six Sigma Yellow Belt: These people receive basic training in the principles of Lean Six Sigma; they create a shared basis of culture regarding Lean Six Sigma methodology at all levels in the company.
Lean Six Sigma Green Belt: They are part-time participants in Lean Six Sigma projects: they have a purely operational focus, providing support to Lean Six Sigma Black Belts and can also manage small improvement projects.
Lean Six Sigma Black Belt: These are resources that dedicate themselves totally, or a large part of their time, to Lean Six Sigma projects: they acquire high skills on methodology and tools, are responsible for strategic projects and internal training and supervision of green belt figures.
Already at the first level of certification, Green Belt, the candidate must undergo an examination with a minimum score of 70% to obtain the certification. In addition, he/she will have to carry out a company project, possibly with coaching support from the trainers.
Thanks to a partnership that CONSIDI has signed with the Six Sigma Management Institute - Europe, a global reference point for training in this discipline, it is possible to obtain Green Belt and Black Belt certifications issued directly by the Six Sigma Management Institute.
The Six Sigma Management Institute is the world's leading player in Lean and Six Sigma training and coaching. The relevant certificates will be issued by Dr Mikel Harry Six Sigma Management Institute USA and are internationally recognised by SSMI Europe and SSMI Asia.
The founder of SSMI, Mikel J. Harry is recognised worldwide as the inventor of the Six Sigma method from its earliest stages within the Motorola group, later taking it to companies such as GE, Allied Signal, ABB, Boeing and Dupont.