A high breakdown point robust Phase I operation of process variability monitoring based on individual observations

摘要

This paper presents an improvement of data concentration process in FMCD algorithm in order to increase its computational efficiency. A simulation study indicates that the improved algorithm is promising in reducing the running time. This advantage will allow the users to use more efficiently that algorithm in multivariate analysis including in the development of a high breakdown point robust Phase I operation in monitoring manufacturing process quality based on individual observations. A real example in Phase I operation of process variability will be presented and discussed to illustrate the advantage of the proposed improved algorithm.