Abstract: When statistical process control (SPC) is used in a small batch manufacturing process, a critical problem is how to fully acquire and utilize information about process (including existing objective data and empirical judgment). According to this question, an algorithm of dynamic quality control based on Bayesian decision-theorem is introduced, and those procedures such as dynamic modeling, parameter estimating and model interrupting are described in detail. At last, a case study is given.

Key words: Beyasian forecasting, Manufacture in small batch, Statistical processing control