Fixed control limits for continuous flow processes

Author

English, John R.

Author_Institution

Dept. of Ind. Eng., Arkansas Univ., Fayetteville, AR, USA

Volume

41

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

310

Lastpage

314

Abstract

In this paper, fixed control limits are shown to be an effective means of monitoring data that are autocorrelated. Autocorrelated data are encountered in continuous flow processes (i.e., chemical processes) due to the natural properties of such processes or may be the result of the use of automatic feedback control. Average run lengths (ARLs), based upon 10000 simulations of various out-of-control conditions, are presented for these control charts. Based upon the simulated ARLs, it is concluded that the fixed control limits effectively detect changes in the autocorrelated structure while maintaining the exact performance as a standard Shewhart control chart for individual measurements when the process is not disturbed. Furthermore, example data sets are plotted on these control charts to graphically present their effective and ease of use

Keywords

quality control; statistical process control; stochastic processes; time series; autocorrelated data; automatic feedback control; average run lengths; chemical processes; continuous flow process; fixed control limits; out-of-control conditions; quality control; standard Shewhart control chart; Autocorrelation; Automatic control; Autoregressive processes; Chemical processes; Control charts; Differential equations; Feedback control; Manufacturing processes; Monitoring; Process control;

fLanguage

English

Journal_Title

Engineering Management, IEEE Transactions on

Publisher

ieee

ISSN

0018-9391

Type

jour

DOI

10.1109/17.310146

Filename

310146