A Simulation Study Of The Impact Of Forecast Recovery For Control Charts Applied To ARMA Processes

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Published Nov 1, 2002
DOI : https://doi.org/10.22237/jmasm/1036110480

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John N. Dyer
Dept. Of Information Systems & Logistics, Georgia Southern University
B. Michael Adams
Dept. Of Information Systems, Management Science, & Statistics University Of Alabama
Michael D. Conerly
Dept. Of Information Systems, Management Science, & Statistics University Of Alabama

Abstract

Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts. This article describes forecast recovery for autocorrelated processes, and the resulting simulation study is used to explain the performance of control charts applied to forecast errors.

Article Details

Issue
Vol. 1 (2002): Issue 2
Section
Articles