The Effectiveness of Mixed Non – Parametric Process Monitoring Charts based on Tukey for ZIB and ZIP Processes

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Published: Jun 30, 2026
Keywords:
Mixed non-parametric control chart Tukey control chart Zero-inflated process

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

Abstract

This study examines the application of non-parametric Tukey-based control charts to address the limitations of standard control charts in monitoring high-yield manufacturing processes that frequently exhibit zero counts. Specifically, it compares the Tukey control chart (TCC), Tukey-based mixed exponentially weighted moving average - moving average control chart (TEMCC), and Tukey-based mixed moving average - exponentially weighted moving average control chart (TMECC) in their ability to detect parameter shifts in zero-inflated binomial and Poisson (ZIB/ZIP) processes, better suited for this data type. Through a Monte Carlo simulation, TMECC demonstrated superior performance in detecting process changes, especially under high zero inflation. A case study highlights the practical advantages of utilizing ZIB and ZIP models for enhanced quality control in manufacturing environments.

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How to Cite
Saowanit Sukparungsee, & Phantu, S. (2026). The Effectiveness of Mixed Non – Parametric Process Monitoring Charts based on Tukey for ZIB and ZIP Processes. Science & Technology Asia, 31(2), 281–295. retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/260544
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Vol.31 No.2 (April-June 2026)
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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