Root Cause Prediction For Failures In Semiconductor Industry, A Genetic Algorithm-machine Learning Approach

Failure analysis is an important part of ensuring good quality in the electronic component manufacturing process. A failure reporting, analysis, and corrective action system is a method for organizations to report, classify, and evaluate failures, as well as plan corrective actions. Natural Language Processing techniques and vectorization methods are used to preprocess text feature datasets before information extraction and building predictive models to predict failure conclusions. Feature selection is used to determine which textual information is useful for building predictive models suitable for failure analysis.