ScholarWorks@동국대학교

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김관호 프로필 사진

김관호

Kwan Ho, Kim

산업시스템공학과

공과대학

2024

2026

연도별 연구 활동 현황

자료유형

Article (12)

발행연도

2024 ~ 2026

2024 2026

언어

English (10)
Korean (2)

전체 12건 중 1번부터 10번까지의 결과를 표시합니다.

2026

Article

A Deep Reinforcement Learning Approach for Multi-Unit Combined Heat and Power Scheduling with Preventive Maintenance Under Demand Uncertainty

Lee, Sangjun ;
Kwon, Iljun ;
Park, In-Beom ;
Kim, Kwanho

2026-04
Energies
MDPI

Article

ElectroTwin: A Digital Twin-Driven Framework for Designing and Scheduling of Electroplating Facilities

Lee, Donghun ;
Noh, Taehyun ;
Go, Jimin ;
Park, In-Beom ;
Kim, Kwanho

2026-03
International Journal of Precision Engineering and Manufacturing-Green Technology
한국정밀공학회

2025

Article

A Multi-Head Attention-Based TimesNet for Heat Production Planning Under Unknown Future Demands

Kim, Jahun ;
Lee, Sangjun ;
Park, In-Beom ;
Kim, Kwanho

2025-11
Energies
MDPI

Article

Joint Planning of Heat and Power Production Using Hybrid Deep Neural Networks

Ahn, Jungwoo ;
Lee, Sangjun ;
Park, In-Beom ;
Kim, Kwanho

2025-11
Energies
MDPI

Article

A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems

Lee, Donghun ;
Park, In-Beom ;
Kim, Kwanho

2025-06
Robotics and Computer-Integrated Manufacturing
Elsevier Ltd

Article

Impact of Network Structures and Deep Learning on Financial Performance in Buyer-Supplier Networks

Song, Seokwoo ;
Kim, Jongeun ;
Kim, Kwanho ;
Kim, Jae-Gon ;
Lee, Donghun

2025
Journal of Global Information Management
IGI Global Scientific Publishing

Article

An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing

Lee, Donghun ;
Kim, Suhee ;
Park, Hoonseok ;
Kim, Haejoong ;
Choe, Ri ;
... Kim, Kwanho ;
외 2명

2025
IEEE Access
IEEE

2024

Article

Optimizing Supply Chain Partnerships for Incheon-Based Suppliers - A Deep Neural Network Approach -

안영효 ;
이동훈 ;
김관호 ;
마진희

2024-12
물류학회지
한국물류학회

Article

An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions

Lee, Donghun ;
Park, In-Beom ;
Kim, Kwanho

2024-10
Applied Soft Computing Journal
Elsevier BV

Article

Comparative Analysis of Machine Learning Techniques in Predicting Wind Power Generation: A Case Study of 2018-2021 Data from Guatemala

Carrera, Berny ;
Kim, Kwanho

2024-07
Energies
Multidisciplinary Digital Publishing Institute (MDPI)

1