PLI Lab Master of Science in Industrial Engineering alumnus
Kim, Hyeon Il (김현일)
Email:
Research Area:
Operation Management
Hybrid Flow Shop Scheduling
Dynamic / Stochastic Scheduling
Analysis of Queue Time Limits
Cyber Physical Production System(CPPS) / Digital Twin(DT)
Machine Learning for Scheduling
Occupation: 한양대학교(Hanyang University)
Lab Seminars:
1.
Coupling GLS and RBS algorithms for minimizing the total completion time in the SMSP
2024.01.11
2.
Minimizing makespan on a two-machine re-entrant flowshop
2023.02.22
3.
Three-machine flow shop scheduling with overlapping waiting time constraints
2022.07.25
4.
A branch-and-bound algorithm for a two-machine flow shop scheduling problem with limited waiting time constraints
2022.01.24
5.
A two-machine flow shop sequencing problem with limited waiting time constraints
2022.01.12
6.
1. Scheduling of flow shop with overlapping waiting time constraints using genetic algorithm 2. Three-machine flow shop scheduling with overlapping waiting time constraints
2021.08.17
7.
A variable neighborhood search for minimizing total weighted tardiness with sequence dependent setup times on a single machine
2021.07.19
8.
A variable neighborhood search for hybrid flow-shop scheduling problem with rework and set-up times
2021.02.15
9.
A dispatching algorithm considering process quality and due dates: an application for re-entrant production lines
2021.02.01
10.
An algorithm of multi-subpopulation parameters with hybrid estimation of distribution for semiconductor scheduling with constrained waiting time
2021.01.11
11.
Hybrid flow shop with multiprocessor task scheduling based on Earliness and Tardiness penalties
2020.08.11
12.
A modified Genetic Algorithm approach to minimize total weighted tardiness with stochastic rework and reprocessing times
2020.07.28
13.
A two-phase decoding genetic algorithm for TFT-LCD array photolithography stage scheduling problem with constrained waiting time
2020.07.14
14.
Modified genetic algorithm for flexible job-shop scheduling problems
