COMPARATIVE STUDY BETWEEN STATISTICAL CONTROL CHARTS AND NEURAL NETWORK BASED CONTROL CHARTS
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Date
2007
Authors
FONG, WONG MEl
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Abstract
Statistical control charts are widely applied nowadays in determining whether a process is
behaving as intended or out-of-control which is caused by assignable reason. Since neural
network is effective in pattern recognition, a performance comparison is done between
the statistical control charts and neural networks based control charts in this study. For
statistical based control chart, x chart and CUSUM chart will be used for comparison.
Meanwhile, the simulation of the neural network is developed by using the C
programming language. The performance of neural network based control chart will be
evaluated by the percentage of pattern recognized accurately. The criteria to compare
performance of both types of control charts is by using the average run length (ARL). The
results indicate that the neural network has a better ARL and it is able to detect the
underlying pattern faster than the statistical based control charts. Therefore, the neural
network approach is appropriate to be applied in the control chart.
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COMPARATIVE STUDY BETWEEN STATISTICAL