Fuzzy Six Sigma Based Regression Control Chart Under Moderateness

  • M. R. Pavithra, Dr. P. Balamurugan

Abstract

Statistical process control (SPC) has played a major role in controlling the product quality for decades since Shewhart (1931) illustrated the technique of the control chart by applying statistical concepts in the manufacturing process. Driven by global competition and evolving customer needs and expectations, manufacturing systems today have witnessed a significant increase in dynamic behaviour and unstable state. The goal of this paper is to present the fuzzy six sigma based regression control chart under moderate distribution. The methodologies will provide a scientific approach to acquire critical knowledge of the dynamic behavior as well as improved control and quality, leading to the enhancement of economic position with an example.

Published
2020-10-03
How to Cite
M. R. Pavithra, Dr. P. Balamurugan. (2020). Fuzzy Six Sigma Based Regression Control Chart Under Moderateness. International Journal of Advanced Science and Technology, 29(04), 9941 -. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/33020