Six Sigma Certification

Six Sigma: Its History and Strategy

We all know that the implementation of a specific strategy of Six Sigma needs a Six Sigma certification, and that there is a definite hierarchy of professionals within an organization under the Six Sigma program. But above all these, what is the Six Sigma concept and how did it start?

Six Sigma is a certain business management strategy that looks to develop the process outputs’ quality by looking to classifying and eliminating the causes of defects or errors and reduce the statistical dispersal in the processes in manufacturing and business.

The Six Sigma concept makes use of various quality management methodologies, such as statistical methods and two specific project methodologies called DMAIC and DMADV. It also makes use of a special hierarchy and titles for each professional rank, and some of these ranks involve the offer of Six Sigma certification. A project that is executed in the organization uses a set of steps to meet a target.

The term Six Sigma came from a term that is linked to the manufacturing industry, especially in the maturity of a process in manufacturing that is described with a sigma rating. The sigma rating is the percentage of error-free or defect-free products that a certain manufacturing process makes. It is believed that a six sigma in manufacturing is that 99.99966% of all products are likely to be free of defects.

The six sigma concept was initiated by Motorola, Inc., in the 1980s, and was only relegated to the improvement of manufacturing processes and removing defects. The whole concept, though, extended towards other types of businesses, especially in customer service ever since the concept grew popular.

What sets Six Sigma apart from other quality improvement concepts is that it has its own unique set of features with regards to quality improvements, such as the use of a special hierarchy to further spread the concept towards the whole organization, with Six Sigma certification that go along with it, and the use of available data as decision markers.