In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold the gains, and to assist in monitoring and implementing controls. This course aims to introduce basic SPC and control chart concepts and how to develop a control plan to hold the gains prior to the closure of a Six Sigma project. The course identifies the key objectives and benefits of SPC and explains the concept of rational subgrouping. It also introduces the different types and the key elements of control charts, and identifies control chart patterns that indicate an out-of-control process. In addition, the types of control plans and the steps used to construct a control plan are discussed. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level