Comparison of the Effectiveness of Detecting Variability between Parametric and nonparametric Moving Average Control Charts

Suganya Phantu; Yupaporn Areepong; Saowanit Sukparungsee

Authors

Suganya Phantu King Mongkut’s University of Technology North Bangkok, Thailand
Yupaporn Areepong King Mongkut’s University of Technology North Bangkok, Thailand
Saowanit Sukparungsee King Mongkut’s University of Technology North Bangkok, Thailand

Keywords:

Distribution free, moving average, parametric control chart, nonparametric control chart

Abstract

Production process variability is a problem that must be resolved promptly to reduce damage and costs. An important tool in statistical quality control is often the use of control charts as a tool to track process changes because they can show the trend of changes more clearly than other tools. The use of control charts can be both parametric and nonparametric. The use of control charts has both parametric and nonparametric types, each with its own advantages and disadvantages. Therefore, this research aims to study the efficiency in detecting process variation between parametric and nonparametric moving average control charts by using sign test. Using the Monte Carlo simulation technique to gather study results, it was discovered that in every scenario examined, the parametric control chart is able to identify changes more quickly than the nonparametric chart. Moreover, the tensile test results of both carbon fiber bundles and individual fibers, which comprised the experimental dataset, agreed with the simulation outcomes.

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