Int\'egration du contr\^ole automatique dans la ma\^itrise statistique des proc\'ed\'es

TL;DR

This paper presents an integrated methodology combining Automated Process Control with Statistical Process Control, using discretization of transfer functions and new control rules to reduce process variability.

Contribution

It introduces a novel integration approach of APC into SPC based on transfer function discretization and a new control rule for AR(1) processes.

Findings

The proposed control rule effectively reduces process variability.

Simulation results demonstrate improved control performance.

The methodology enhances process stability and quality.

Abstract

The Statistical Process Control (SPC) and the Automated Process Control (APC) have a common goal: achieve optimal product quality by controlling variations in the process. The work in this paper will present a developed integration methodology of the APC in the SPC which is based on discretization of the transfer functions relating to each component of the process. We proposed on the one hand, a new control rule which is based on a system of first order. In the other hand, we showed how to establish control charts to a process of the type AR (1). Using simulation experiments, we showed that the proposed control rule reduced variability by comparing it with that proposed in literature.