@article{ART003176543},
author={Raekyung Ahn and Seok-Won Lee},
title={Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={2},
pages={1-11}
TY - JOUR
AU - Raekyung Ahn
AU - Seok-Won Lee
TI - Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 2
PB - The Korean Society Of Computer And Information
SP - 1
EP - 11
SN - 1598-849X
AB - Semiconductor production management becomes increasingly challenging due to the growing complexity of products, raising issues with the inefficiency of on-site scheduling. The complexity of the production environment and the multitude of variables make it difficult for traditional scheduling methods to effectively respond to real-time production changes, limiting the ability to achieve optimal productivity and quality. In this context, production experts are demanding solutions that provide insights into production direction and operational status. Based on the requirements, I conducted research on a solution that uses machine learning to analyze actual semiconductor Fab log data, identifying and visualizing decision-making factors that impact scheduling. This study is significant in that it suggests a direction for future schedulers and provides a foundation for building an Autonomous Fab.
KW - Decision making;unsupervised learning;decision tree;correlation analysis;hybrid learning;scheduling;semiconductor production;manufacturing scheduling
DO -
UR -
ER -
Raekyung Ahn and Seok-Won Lee. (2025). Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree. Journal of The Korea Society of Computer and Information, 30(2), 1-11.
Raekyung Ahn and Seok-Won Lee. 2025, "Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree", Journal of The Korea Society of Computer and Information, vol.30, no.2 pp.1-11.
Raekyung Ahn, Seok-Won Lee "Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree" Journal of The Korea Society of Computer and Information 30.2 pp.1-11 (2025) : 1.
Raekyung Ahn, Seok-Won Lee. Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree. 2025; 30(2), 1-11.
Raekyung Ahn and Seok-Won Lee. "Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 1-11.
Raekyung Ahn; Seok-Won Lee. Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree. Journal of The Korea Society of Computer and Information, 30(2), 1-11.
Raekyung Ahn; Seok-Won Lee. Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree. Journal of The Korea Society of Computer and Information. 2025; 30(2) 1-11.
Raekyung Ahn, Seok-Won Lee. Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree. 2025; 30(2), 1-11.
Raekyung Ahn and Seok-Won Lee. "Machine Learning-Based Analysis of Semiconductor Production Schedule Logs: A Hybrid Approach Using Clustering and Decision Tree" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 1-11.
