Young Jae Jang
Young Jae Jang
KAIST · Graduate School of Data Science
Professor
Prof. 장영재
Professor's page · publicationsAbout
제조 데이터 분석 연구를 수행하며 제조 시스템에 데이터 과학·AI를 적용한다. 반도체 팹 시뮬레이션, 생산 스케줄링·운영 최적화 등 제조 현장의 데이터 기반 의사결정을 주요 주제로 다룬다.
Research keywords
Recent papers
- Job assignment and scheduling optimisation of multiple-load mobile transport systemsInternational Journal of Production Research · Oct 8
- Layout-driven fleet sizing of multiple-load mobile transport systemsInternational Journal of Production Research · Sep 24
- Understanding throughput degradation in automated material handling system-integrated flexible manufacturing systems: structural drivers and operational implicationsInternational Journal of Production Research · Sep 15
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Advanced Manufacturing and Logistics Optimization
SDM Lab
KAIST · Industrial and Systems Engineering
Layout-driven fleet sizing of multiple-load mobile transport systemsInternational Journal of Production Research · Sep 24Analytics Lab
KAIST · Industrial and Systems Engineering
A unified learning framework for the block relocation problem: A new performance baselineEuropean Journal of Operational Research · Sep 1In-Beom Park
Dongguk University · Industrial Engineering
Schedule-Informed Empty-Vehicle Dispatching for OHT Systems in Semiconductor ManufacturingNewSystems · Oct 22
Other labs in this department
- Data Mining LabRecruiting
Il-Chul Moon
Data science methodologies
- Data Infrastructure LabRecruiting
Jae-Gil Lee
Data science methodologies
- Kijung Shin
Applied Statistics, Graph Mining
- Hyun-Wook Ka
Hyun Wook Ka
Data science methodologies
- Keumseok Kang
Finance, management, and economics
- Yul Kang
Yul Hyoung Ryul Kang
Bio, healthcare, and brain sciences