PLI Lab Master of Science in Industrial Engineering alumnus
Heo, Seong Sik (허성식)
Email:
Research Area:
Occupation: CJ 대한통운 TES 물류기술연구소
Lab Seminars:
1.
An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
2021.02.22
2.
A random forest-based job shop rescheduling decision model with machine failures
2021.01.18
3.
Learning dispatching rules using random forest in flexible job shop scheduling problems, Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
2020.08.04
4.
Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
2020.07.21
5.
Learning dispatching rules using random forest in flexible job shop scheduling problems
2020.07.09
6.
Dynamic job-shop scheduling using reinforcement learning agents
2020.02.13
7.
Smart manufacturing scheduling with edge computing using multiclass Deep Q Network
