Production Line Availability-Based Production Planning Optimization Model in Semiconductor Fabrication

Dongwoo Go, Seunghoon Lee

Semiconductor manufacturing processes are characterized by high complexity and long lead times, making efficient production planning crucial. Existing methods u...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.119

Vehicle Health Indicator Based on Cumulative Reconstructed Errors

Jihyun Yun, Changwook Chu, Jongkook Heo, Saerin Lim, Hyeon bin Jeong, Seoung Bum Kim

Constructing a health indicator for vehicles is becoming important for enhancing reliability and stability of operation systems. Typically, health indicator con...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.127

Worker Scheduling in a Multi-depot Warehouse Employing Pick-pack Switching Policy

Thao Huong Tran-Vo, Gwangheon Lee, Soondo Hong

Order picking and packing are two essential operations in the order fulfillment process, where workers can be allocated and scheduled under different policies. ...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.142

Instruction Tuning for Developing Large Language Models Specialized in Chemical Domain

Jungmin Lee, Hyeonji Kim, Sungsu Lee, Yunsoo Kim, Kyuhwang Lee, Seoung Bum Kim

In recent years, notable progress in natural language processing (NLP) has been attributed to the advent of large language models (LLM), exemplified by innovati...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.150

A Study on Dementia Risk Assessment Using Lifelog Data with Explainable Artificial Intelligence

Huiwoong Cheon, Hyeyeon Park, Byeongju Lee, Suyeon Hong, Junegak Joung

This paper presents a novel method for accurately assessing dementia risk by utilizing explainable artificial intelligence (eXplainable AI) and lifelog data, wh...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.161

Machine Learning-based Electrical Energy Consumption Prediction

Sungyeon Yoon, Sumin Oh, Jiyun Kim, Minseo Park

Electrical energy is a fundamental resource widely used in both daily life and various industrial sectors. Accurate prediction of electricity consumption is cri...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.171

Multimodal Anomaly Detection for Semiconductor Manufacturing Material Quality

Minji Baek, Seoung Bum Kim

In the semiconductor industry, as processes continue to miniaturize, monitoring material quality has become increasingly critical. Traditional methods, which la...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.182

Ko-SAO Structure for Functional Analysis of Korean Patents in Energy Field

Sunhye Kim, Hyejin Jang

This study proposes an analysis framework based on the SAO (Subject, Action, Object) structure to efficiently extract technical information from Korean patent d...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.2.194