Average Run Length Formulas for Mixed Double Moving Average - Exponentially Weighted Moving Average Control Chart

Authors

  • Suganya Phantu Faulty of Science, Energy and Environment, King’s Mongkut University of Technology North Bangkok, Rayong 21120, Thailand
  • Yupaporn Areepong Department of Applied Statistics, Faculty of Applied Science, King’s Mongkut University of Technology North Bangkok, Bangkok 10800, Thailand
  • Saowanit Sukparungsee Department of Applied Statistics, Faculty of Applied Science, King’s Mongkut University of Technology North Bangkok, Bangkok 10800, Thailand

Keywords:

Explicit formulas, Mixed control chart, Mean shifts, Performance

Abstract

This research aims to propose an explicit formula for average run length (ARL) for a mixed Double Moving Average - Exponentially Weighted Moving Average (DMA-EWMA) control chart. In addition, the performance of the DMA-EWMA control chart is compared with the existing control charts; Shewhart and Exponentially Weighted Moving Average (EWMA) control charts. The common criterion to measure the efficiency is the average run length, commonly measured by the out of control average run length (ARL1). The in control average run length (ARL0) is given to 370, and the process observations are from normal, exponential, gamma, and Laplace distributions. The numerical results found that the DMA-EWMA control chart performs better than other control charts for all magnitudes of changes (gif.latex?\lambda). Furthermore, the real applications are addressed to validate the proposed control chart.

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Published

2023-03-21

How to Cite

Suganya Phantu, Yupaporn Areepong, & Saowanit Sukparungsee. (2023). Average Run Length Formulas for Mixed Double Moving Average - Exponentially Weighted Moving Average Control Chart. Science & Technology Asia, 28(1), 77–89. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/248877

Issue

Section

Physical sciences