The Impact of Artificial Intelligence on Predictive Quality Assurance in  Modern Manufacturing

GAURAV KUMAR SINHA

The Impact of Artificial Intelligence on Predictive Quality Assurance in Modern Manufacturing

Authors

GAURAV KUMAR SINHA

Keywords:

Artificial Intelligence, Predictive Quality Assurance, Smart Manufacturing, Defect Prediction, Yield Enhancement, Digital Twin, Virtual Metrology, Model Governance

Abstract

Quality assurance in manufacturing has traditionally been reactive. Products are inspected or tested afterthey are made, defects are counted, and process changes follow weeks later. Artificial intelligence (AI) offers a different model, in which sensor, vision and process data are used to predict defects

References

1: A. Mahendra Vardhan and S. Sridhar, "Determining False Positive Analysis of SoftwarVulnerabilities with Predefined Scan Rules using Random Forest Classifier and Decision Tree Technique," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 622-625, DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074458

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Published

2024-05-15

How to Cite

GAURAV KUMAR SINHA. (2024). The Impact of Artificial Intelligence on Predictive Quality Assurance in Modern Manufacturing . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3895–3912. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5919