1. Derivation of Explicit Formulae for Performance Measures of CUSUM Control Chart for SMA(Q) Model with Exponential White Noise.
- Author
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Zhang, Lili, Suraphee, Sujitta, and Busababodhin, Piyapatr
- Abstract
A Cumulative Sum (CUSUM) chart can be a useful alternative to standard Shewhart control charts for monitoring small shifts in a process, but its effectiveness is limited by the assumption of normality. For many processes of interest, observations which are closely spaced in time will be correlated. Consequently, the main goal of this paper is to derive explicit formulae for the measure of performance for the CUSUM control chart for a seasonal moving average order Q (SMA(Q) ) model and using exponential white noise. We presented a method for deriving explicit formulae for both the Average Run Length (ARL) and Average Delay Time (ADT), along with a numerical integration approach for evaluating the ARL and ADT. The performances of the numerical results obtained from the explicit formulae and the numerical integration approach are presented, indicating that the explicit formulae can significantly reduce the computational time required for evaluating the ARL and ADT in comparison to the numerical integration approach. In addition, the explicit formulae for the CUSUM control chart were further tested using practical data from the stock exchange of Thailand, demonstrating their applicability beyond theoretical simulations. The proposed explicit formulae for the ARL and ADT are highly valuable in practical applications, as they can be used to design an optimal CUSUM chart. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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