Taehoon Lee

• Managed day-to-day operations and resource allocation of the mill to maintain stable manufacturing output and ensure daily manufacturing schedule of mill. (Wire-Rod)
• Managed product stocks or on-line resources with shipment output to maintain stable balance of entire inventory level.
• Coordinated with other departments or vendors to achieve monthly stock targets. (Steel Bar)
• Conducted tasks for the factory automation and optimization using MILP(Mixed Integer Linear Programming), Metaheuristics, Optimization Programming, etc.
• (DX WG) Participated in the working group of the TF department for system innovation and process automation.
• (Achievement) Reducing Surplus : Analyzed vulnerabilities in the automation system and implemented improvements, reducing unnecessary production by over 90%.

• 4.13/4.5

SONA Lab : System Optimization and Application Lab, Kyunghee Univ.

• [Thesis Paper] T. Lee, S. R. Han and B. D. Song, "Optimization of OmniChannel Distribution Network Using Micro Fulfillment Center Under Demand Uncertainty," in IEEE Access, vol. 11, pp. 107496-107510, 2023, doi: 10.1109/ACCESS.2023.3317690.
• [Journal Paper] S. R. Han, T. Lee, B. D. Song and Young Joo Kim. "Battery-Shared Charging Station for Eco-Friendly Last Mile Delivery Vehicles: Multi-Period and Multi-Objective Location Optimization with Connectivity." Korean Journal of Logistics, vol. 30, no. 2, pp. 21-31, 2022.
• [Journal Paper] Y. T. Lee, T. Lee, B. D. Song and S. D. Lee. "Development of the 3-Dimensional Vehicle Loading Algorithm Considering B2B and B2C Logistics Environments." Korean Journal of Logistics, vol. 30, no. 6, pp. 89-103, 2022.
• [Conference] T. Lee, S. R. Han, H. S. Han, B. D. Song, “Optimization of OmniChannel Distribution Network Using Micro Fulfillment Center Under Demand Uncertainty” in Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2023
• [Conference / Award] S. R. Han, Y. Kim, T. Lee, B. D. Song, " Sharable Battery-Exchange Station for Eco-Friendly Last Mile Delivery Vehicles: Multi- Period and Multi-Objective Location Optimization with Connectivity " in The society of Logistics Science and Technology, November 1, 2021. Best Research Paper (Awarded)
• [Award] "Integration Strategy of Micro Fulfillment Centers and Drones for Next-Generation Logistics System Operation: Optimal Facility Location and VRP Solution ", (Selected) 2021 Future Technology Challenge, CJ Korea Express
• [Capstone Project] Evaluation of Energy Efficiency in Cold Chain Last-Mile Delivery (2022-2), Proposed energy efficiency indicators adapted to domestic conditions, based on the EU's cold chain energy efficiency standards
• [Capstone Project] Genetic Sort (2022-1), Applied genetic algorithms for parameter tuning in the multi-object tracking model SORT.

QML : Quantum-Machine Learning Lab, Korea Univ. - researcher

• [Journal Paper] B. Choi, J. Jung, T. Lee, J. Eun, & I. Choi. "Quantum-inspired Genetic Algorithm with Chromosome Clustering for 0-1 Knapsack Problems", Under review.
• [Conference] B. Choi, J. Jung, T. Lee, J. Eun, & I. Choi, A Quantum-inspired Genetic Algorithm to Enhance Search Ability. Fall Conference of Korean Operation Research and Management Science Society, Goyang, South Korea, Nov. 2024.
• [Conference] B. Choi, J. Jung, T. Lee, J. Eun, & I. Choi, “New Algorithm with Improved Search Ability Leveraging Quantum computing Principles and Genetic Algorithm Framework” in Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2024.
• [Conference] B. Choi, J. Jung, T. Lee, J. Eun, & I. Choi, “Embedding Quantum Computing Principles in a Metaheuristic to Enhance the Search Ability” in Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2023.
• [Conference] B. Choi, J. Jung, T. Lee, J. Eun, & I. Choi, “Incorporating the Principle Concepts of Quantum Computing into a Heuristic Framework: A Quantum-inspired Genetic Algorithm” in Korea's Allied Economic Associations Annual Meeting, Seoul, South Korea, Feb. 2023.
• [Conference] B. Choi, T. Lee, J. Jung, J. Eun, & I. Choi, “A Quantum-inspired Evolutionary Algorithm for Knapsack Problems” in Fall Conference of Korean Institute of Industrial Engineers, Incheon, South Korea, Nov. 2022.

• 3.32/4.5