Open Access

ARTICLE

Memory-Type Control Charts Through the Lens of Cost Parameters

by Sakthiseswari Ganasan¹, You Huay Woon^2,*, Zainol Mustafa¹, Dadasaheb G. Godase³

1 Pusat Pengajian Sains Matematik, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, 43600, Malaysia
2 Pusat GENIUS@Pintar Negara, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, 43600, Malaysia
3 Shivaji University, Kolhapur, 416004, India

* Corresponding Author: You Huay Woon. Email:

Intelligent Automation & Soft Computing 2023, 36(1), 1-10. https://doi.org/10.32604/iasc.2023.032062

Received 05 May 2022; Accepted 10 June 2022; Issue published 29 September 2022

Abstract

A memory-type control chart utilizes previous information for chart construction. An example of a memory-type chart is an exponentially-weighted moving average (EWMA) control chart. The EWMA control chart is well-known and widely employed by practitioners for monitoring small and moderate process mean shifts. Meanwhile, the EWMA median chart is robust against outliers. In light of this, the economic model of the EWMA and EWMA median control charts are commonly considered. This study aims to investigate the effect of cost parameters on the out-of-control average run length in implementing EWMA and EWMA median control charts. The economic model was used to compute the parameter. The 14 input parameters were identified and the analysis was carried out based on the one-parameter-at-a-time basis. When the input parameters change based on a predetermined percentage, the is affected. According to the results of the EWMA chart, nine input parameters had an effect and five input parameters had no effect on the parameter. Further, only seven of the 14 input parameters had an effect on the ARL₁ of the EWMA median chart. However, the effect of each input parameter on the was different. Moreover, the for the EWMA median chart was smaller than the EWMA chart. This analysis is crucial to observe and determine the input parameters that have a significant impact on the of the EMWA and EWMA median control charts. Hence, practitioners can obtain an overview of the influence of the input parameters on the when implementing the EWMA and EWMA median control charts.

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Keywords

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