[ WINTER 2024]
| 1. | Concurrent line-balancing, equipment selection and throughput analysis for multi-part optimal line design  | 01.18 |
| 2. | Resource reconfiguration and optimization in brownfield constrained Robotic Assembly Line Balancing Problems | 02.06 |
| 3. | Configuration design of reconfigurable single-product robotic assembly line for capacity scalability | 02.23 |
Kim, Hyeon Il - Ph.D
| 1. | Coupling GLS and RBS algorithms for minimizing the total completion time in the SMSP | 01.11 |
Lee, Jun Yeong - M.S
| 1. | Heuristic algorithms for re-entrant hybrid flow shop scheduling with unrelated parallel machines | 02.20 |
Lee, Keon Min - M.S
| 1. | Scheduling for a flow shop with waiting time constraints and missing operations in semiconductor manufacturing | 01.11 |
| 2. | Multi objective evolutionary algorithm based on multiple neighborhoods local search for multi objective distributed hybrid flow shop scheduling problem | 02.01 |
| 3. | Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction | 02.23 |
Moon, Hyeon Ji - M.S
| 1. | Configuration design in scalable reconfigurable manufacturing systems : a case of single-product flow line | 02.20 |
Youn, Ae Jin - M.S
| 1. | Improved differential evolution algorithms for solving generalized assignment problem | 01.18 |
| 2. | A simulated annealing algorithm approach to hybrid flow shop scheduling with sequence-dependent setup times | 02.06 |
[ SUMMER 2024]
| 1. | Modeling and scheduling for remanufacturing systems with disassembly, reprocessing, and reassembly considering total energy consumption | 07.08 |
| 2. | Cooperated teaching-learning-based optimisation for distributed two-stage assembly flow shop scheduling | 07.22 |
| 3. | Multi-objective optimization of energy-efficient remanufacturing system scheduling problem with lot-streaming production mode | 08.19 |
| 4. | Integrated scheduling for remanufacturing system considering component commonality using improved multi-objective genetic algorithm | 08.29 |
Kim, Hyeon Il - Ph.D
| 1. | Genetic Programming and Machine Learning Techniques for Production Scheduling: An Evolutionary Learning Approach | 07.29 |
Lee, Jun Yeong - M.S
| 1. | A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling | 07.08 |
| 2. | Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines | 07.22 |
| 3. | A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry | 08.12 |
| 4. | Bi-objective Optimization of Integrating Configuration Generation and Scheduling for Reconfigurable Flow Lines Using NSGA-II | 08.29 |
Lee, Keon Min - M.S
| 1. | New mixed integer approach to solve a multi-level capacitated disassembly lot-sizing problem with defective items and backlogging (2020) | 07.16 |
| 2. | Genetic algorithm and Monte Carlo simulation for a stochastic capacitated disassembly lot-sizing problem under random lead times | 07.29 |
| 3. | Heuristics for disassembly lot sizing problem with lost sales | 08.05 |
| 4. | Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times | 08.19 |
Moon, Hyeon Ji - M.S
| 1. | Configuration design of scalable reconfigurable manufacturing systems for part family | 07.01 |
| 2. | An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints | 07.22 |
| 3. | An exact optimization approach for a transfer line reconfiguration problem | 08.05 |
| 4. | Minimizing task reassignments under balancing multi-product reconfigurable manufacturing lines | 08.19 |