Analytics Lab
Analytics Lab
Professor
Prof. 김현정
Professor's page · publicationsAbout
KAIST 산업및시스템공학과 김현정(Hyun-Jung Kim) 교수의 Manufacturing & Service Systems Lab(MSS Lab)으로, 제조 및 물류 시스템의 스케줄링·계획·최적화를 연구한다. 클러스터 툴 스케줄링, 신경망 기반 조합 최적화(neural combinatorial optimization), 강화학습을 활용한 스마트 팩토리와 자동화 물류창고 운영 최적화에 중점을 둔다. 포스닥 2명, 박사과정 11명, 석사과정 6명 규모로 운영된다.
Research keywords
Recent papers
- Monte Carlo tree search for the multi-crane scheduling problem with temporal constraintsNewFlexible Services and Manufacturing Journal · Oct 13
- A unified learning framework for the block relocation problem: A new performance baselineEuropean Journal of Operational Research · Sep 1
- Multi-objective batching-dispatching framework for parallel machine scheduling with job familiesComputers & Industrial Engineering · Aug 24
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- A novel health index framework for semiconductor equipment using multi-view dataIEEE Transactions on Semiconductor Manufacturing · 2026
- Learning to retrieve containers: A scale-diverse deep reinforcement learning approach for the container retrieval problemTransportation Research Part C: Emerging Technologies · 2026
- A decomposition-based optimization method for parallel machine scheduling under quality uncertainty in wafer manufacturingJournal of Manufacturing Systems · 2026
- A multi-view attention-based encoder-decoder framework for clustered traveling salesman problemIEEE Robotics & Automation Letters · 2026
- Advances in multi-crane scheduling: Extended non-interference modeling and temporal-constraint-based valid inequalitiesEuropean Journal of Operational Research · 2026
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Hyunjung Kim
KAIST · Graduate School of Data Science
Multi-objective batching-dispatching framework for parallel machine scheduling with job familiesComputers & Industrial Engineering · Aug 24Shared topic: Scheduling and Optimization Algorithms
Young Jae Jang
KAIST · Graduate School of Data Science
Layout-driven fleet sizing of multiple-load mobile transport systemsInternational Journal of Production Research · Sep 24Shared topic: Advanced Manufacturing and Logistics Optimization
In-Beom Park
Dongguk University · Industrial Engineering
Scheduling unrelated parallel machines with sequence-dependent family setups via deep reinforcement learning-driven rollout and adaptive batchingSwarm and Evolutionary Computation · Sep 20Shared topic: Scheduling and Optimization Algorithms
Other labs in this department
- Applied AI LabRecruiting
Il-Chul Moon
Applied Artificial Intelligence Lab.
- Operations Research LabRecruiting
Chanyoung Park
Data Science & Artificial Intelligence Lab.
- Technology Innovation LabRecruiting
Hwanjun Song
Data Intelligence System Lab.
- Financial Engineering Lab
Woo Chang Kim
Financial Engineering Lab.
- Human Factors Lab
Shuping Xiong
Human Factors and Ergonomics Lab.
- Quality Engineering Lab
Hayong Shin
System Analytics Lab.