SIXSIGMA YELLOW BELT
A Yellow Belt has the basic knowledge of most of the Six Sigma concepts and practices. They support the quality improvement projects often lead by the Deep Analyst who head the six sigma projects. The yellow belt is also a highly technical person, who participates in the core working of the continuous improvement projects. They many times are involved with process study, simulations, testing and analysis. The yellow belts support the green and black belts for the overall success of the six sigma process. Analytics experience has shown that It is better to initiate oneself into the yellow belt and develop into the green and black belts. This gives them the overall perspective the company needs when handling projects for quality improvement. Under Qualimation direction or supervision, the quality yellow belt will be able to do analyse and solve quality problems; prepares quality inspection plans and instructions; select sampling plan applications; prepare procedures; train inspectors; perform audits; analyse quality costs and other quality data.
Is this a easy course to learn ?
This course is designed and continioulsy updated by them with latest methods and techniques. The course is explained with simple examples and all the concepts are covered by this technique. Qualimations makes it easy for you and supports you through our projects.
How does APLUS NDT SERVICES Support Six Sigma implementation?
The training imparted are of highest standard with continious improvement in the training process. We have a team who also followup on all your six sigma projects. Qualimations also uses some of your expertise and shares knowledge on from its consulting programs as well. You send us your feedback we respond most of the six sigma queries within 2 working days.
Course Deals
What is Six Sigma and how to use them effectively?
Deming’s Cycle and Quality Planning
Production part approval process
Process Flow - FMEA - Control plan
Failure Modes and Effects Analysis
Statistical Process Control
Prioritizing and Inference with Data
Measurement System Analysis
Gage Capability study
How to build an effective control plan
Problem Solving- Deep Analysis
Machine/Process capability
Error proofing -Poka Yoke