Machine learning is a field of artificial intelligence that allows computers to perform tasks normally requiring human expertise. Machine learning aims to create algorithms that enable computers to complete certain tasks without explicit instructions. Machine learning has the potential to improve quality management processes for organizations greatly. However, we have seen very limited use of this

The control phase of the DMAIC process ensures that all the improvements identified during the planning and design phases are implemented and that they continue to be maintained over time. The control phase also includes a review of the project’s progress against its plan and any changes made to it. This ensures that the project

In DMAIC, the fourth step is the Improve phase. In this phase, you improve the process to remove the causes of the defects. Sometimes the recommendations for improvement could be simple and easy to implement. However, sometimes it may require a lot of effort and time. In this post, I will discuss some examples of implementation

Six Sigma eliminates defects and non-value-added activities from the manufacturing process. To do this, Six Sigma uses five basic steps: define the problem (D), measure the current state (M), analyze the root cause (A), design a solution and implement the solution (I), and control/monitor results(C). 1. Define Problem – Defining the problem involves identifying what needs