Primary supervisor
Wei Lin TeohThis project focuses on understanding and applying control charts as a tool for monitoring and improving process quality. It involves designing some basic control charts and evaluating their performance in detecting process variations under different conditions. The evaluation will be based on key metrics such as Average Run Length (ARL), false alarm rate, and detection speed, providing insights into the effectiveness of various chart types in maintaining quality standards.
Required knowledge
You need statistics knowledge and programming skills. Additionally, understanding Statistical Process Control / Statistical Quality Control concepts and basic optimization techniques is essential.