An On‐Line Real‐Time SPC Scheme and Its Performance

This paper considers a recent environment in the manufacturing process in which data in large amounts can be obtained on‐line in real‐time. Under this environment an on‐line real‐time Statistical Process Control (SPC) scheme equipped with detection of a process change, change‐point estimation, and recognition of the change pattern is proposed. The proposed SPC scheme is composed of a Cusum chart, filtering methods and Akaike Information Criterion (AIC). We examine the performance of this scheme by Monte Carlo simulation and show its usefulness.