Six Sigma methodologies
Six Sigma is a proven methodology aimed to improve the measurable results for all types of organizations, including nonprofit, manufacturing, government, service, healthcare, and research organizations. The Six Sigma methodology has to be introduced during the first phase of the deployment itself, so that improvement is obtained along with a generic problem-solving line of approach. The following are two important Six Sigma methodologies:
1. DMAIC
The DMAIC (Define-Measure-Analyze-Improve-Control) methodology of Six Sigma has the following 5 stages:
- Define – main project goals and current process
- Measure – vital aspects of current process and collection of relevant data
- Analyze – collected data for verifying cause-and-effect relationships
- Improve – the process on the basis of data analysis by employing various techniques
- Control – the process, to check for corrections in any deviations from target, so that defects are avoided.
2. DFSS / DMADV
DFSS (Design For Six Sigma) focuses on developing defect-free products or services. It works on combining many tools used for improving existing products/services, and integrates customer voices and simulation methods for predicting new process and product performance. The DFSS/DMADV (Define-measure-Analyze-Design-Verify) methodology too has five stages:
- Define – design goals consistently to suit customer demands and organization strategy
- Measure – and identify product capabilities, CTQs (Critical To Quality characteristics), production process capability, and risks
- Analyze – development of alternative designs; creation of high-quality designs, and evaluation of the best design
- Design – optimization and plan for verification. Simulations may be required in this phase.
- Verify – design, arrange for pilot runs, production process implementation, and handing over of design to the process owners
These are the two important methodologies of Six Sigma. The training of Six Sigma is based on the five phases of DMAIC methodology. The time gap between each training session is utilized for application of tools that were learned previously.