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PLI Lab Master of Science in Industrial Engineering alumnus
Youn, Ae Jin (윤애진)
Email:
ajyounn@hanyang.ac.kr
Research Area:
Reconfigurable Manufacturing System
Controllable Processing Time
Occupation:
MICUBE Solution, Digtal Twin Team, Advanced Technology R&D Centre
Lab Seminars:
1.
A simulated annealing algorithm approach to hybrid flow shop scheduling with sequence-dependent setup times
2024.02.06
2.
Improved differential evolution algorithms for solving generalized assignment problem
2024.01.18
3.
Production capacity planning and scheduling in a no-wait environment with controllable processing times: An integrated modeling approach
2023.08.28
4.
A drastic hybrid heuristic algorithm to approach to JIT policy considering controllable processing times
2023.08.14
5.
Design of delayed reconfigurable manufacturing system based on part family grouping and machine selection
2023.07.17
6.
Two decompositions for the bicriteria job-shop scheduling problem with discretely controllable processing times
2023.07.03
7.
A heuristic approach for balancing mixed-model assembly line of type I using genetic algorithm
2023.02.20
8.
A GA-based approach for optimizing single-part flow-line configurations of RMS
2023.01.31
9.
Minimizing total tardiness and earliness on unrelated parallel machines with controllable processing times
2023.01.16
10.
Fast and efficient algorithms to handle the dynamism in a single machine scheduling problem with sequence-dependent setup times
2022.09.05
