[PDF][PDF] Explicit formulas of average run length for a moving average control chart for monitoring the number of defective products

Y Areepong - International Journal of Pure and Applied …, 2012 - researchgate.net
International Journal of Pure and Applied Mathematics, 2012researchgate.net
The objective of this paper is to study Statistical Process Control (SPC) with a Moving
Average control chart (MA). The main characteristics of a control chart are the Average Run
Length (ARL)(mean of false alarm times) and the Average Delay time (AD)(mean delay of
true alarm times). The ARL should be sufficiently large while the process is still in-control
and the AD should be small when the process goes out-of-control. Explicit MA-based
formulas for ARL and AD are presented for observations from a binomial distribution. In …
Abstract
The objective of this paper is to study Statistical Process Control (SPC) with a Moving Average control chart (MA). The main characteristics of a control chart are the Average Run Length (ARL)(mean of false alarm times) and the Average Delay time (AD)(mean delay of true alarm times). The ARL should be sufficiently large while the process is still in-control and the AD should be small when the process goes out-of-control. Explicit MA-based formulas for ARL and AD are presented for observations from a binomial distribution. In particular, formulas are developed for the number of defective products in a production line. The new formulas are simple, and easy to implement and use by practitioners. The ARL and AD calculated from these new formulas are compared with numerical simulation results for the Shewhart np and EWMA charts. The results show that the new MA formulas perform better than the np and EWMA charts when the shifts in parameter values from in-control to out-of-control are moderate or large.
AMS Subject Classification: 60A05
researchgate.net
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