A systemic approach of quality controls

The article presents a systemic approach of quality control that takes into accounts various uses of data issued from controls charts. The article proposes an enhancement of economic design of quality control chart, using learning as an inner parameter of the design. By doing so, the economic design of control chart becomes dynamic. The method employed in this research is based on the enhancement of the model of Baud-Lavigne, Bassetto and Penz and a simulation to test the model. The result is a dynamic model of the design of control charts that links learning and number of controls. First simulations retrieve a slight decrease of quantity of controls while yield improvement occurs.