SPC in an automated manufacturing environment

Implementation of statistical process control ( SPC) in an automated enviro nment requires a number of issues to be addressed. Changes in sample data d istribution and statistical properties such as independence will affect the use and interpretation of traditional SPC procedures; changed monitoring a nd adjustment techniques will influence the subsequent decision-making; at the same time, automation could facilitate implementation of SPC with other control techniques. In this paper, the potential of combining SPC with eng ineering process control methods is discussed. Comparative analysis between traditional SPC methods and SPC combined with feedback control is presente d. Actual and simulated data are used to illustrate the procedure which, be cause of its self-tuning ability, could greatly reduce system readjustment while most of the advantages of traditional SPC are preserved at the same t ime.