Please use this identifier to cite or link to this item: https://doi.org/10.1080/09511920150216323
Title: SPC in an automated manufacturing environment
Authors: Cai, D.Q.
Xie, M. 
Goh, T.N. 
Issue Date: Mar-2001
Source: Cai, D.Q., Xie, M., Goh, T.N. (2001-03). SPC in an automated manufacturing environment. International Journal of Computer Integrated Manufacturing 14 (2) : 206-211. ScholarBank@NUS Repository. https://doi.org/10.1080/09511920150216323
Abstract: Implementation of statistical process control (SPC) in an automated environment requires a number of issues to be addressed. Changes in sample data distribution and statistical properties such as independence will affect the use and interpretation of traditional SPC procedures; changed monitoring and 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 engineering process control methods is discussed. Comparative analysis between traditional SPC methods and SPC combined with feedback control is presented. Actual and simulated data are used to illustrate the procedure which, because of its self-tuning ability, could greatly reduce system readjustment while most of the advantages of traditional SPC are preserved at the same time.
Source Title: International Journal of Computer Integrated Manufacturing
URI: http://scholarbank.nus.edu.sg/handle/10635/63336
ISSN: 0951192X
DOI: 10.1080/09511920150216323
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

7
checked on Nov 16, 2017

Page view(s)

31
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.