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PLI Lab Master of Science in Industrial Engineering alumnus
Kim, Yeo Reum (김여름)
Email:
hpkim0722@hanyang.ac.kr
Research Area:
Hybrid Flow Shop Scheduling
Dynamic Scheduling
Machine Learning for Scheduling
Reworks under Queue Time Limits
Occupation:
LG Electronics Production R&D
Lab Seminars:
1.
Evolving scheduling heuristics via genetic programming with Feature selection in dynamic flexible job-shop scheduling
2022.08.08
2.
Extracting priority rules for dynamic multi-objective flexible job shop scheduling problems using gene expression programming
2022.07.18
3.
A genetic programming-based scheduling approach for hybrid flow shop with a batch processor and waiting time constraint
2022.02.14
4.
Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
2022.02.09
5.
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
2022.01.10
6.
Two new approaches for a two-stage Hybrid flow shop problem with a single batch processing machine under waiting time constraint
2021.08.23
7.
A Hybrid Genetic Algorithm for flexible job shop scheduling problem with sequence-dependent setup times and job lag times
2021.07.26
8.
Auction-based approach for a flexible job-shop scheduling problem with multiple process plans
2021.07.12
9.
A two-phase heuristic approach to the permutation flow-shop scheduling problem
2021.02.22
