Research Interests

• Automated Planning and Scheduling for Manufacturing and Logistics Systems

• Factory Logistics, Warehouse, Container Terminal

• AI-Enabled Optimization

Research Experience

• The Institute of Intelligent Logistics Big Data, Pusan National University

  • Research Assistant

  • Sep 2020 – Jan 2021

Working Papers

1. "Bi-objective Parallel Machine Scheduling for the Upstream Process (USP) in Biopharmaceutical Production"

   • with S. Hwang and H.-J. Kim

2. "Self-Improvement Learning for the Blocks Relocation Problem: A New Performance Baseline"

   • with J.-K. Jung, S.-H. Cho, and H.-J. Kim

3. "Branch and Bound Algorithm for the Multi-Crane Scheduling Problem with Temporal Constraints"

   • with H.-J. Kim

4. "Parallel Machine Scheduling with Additional Resources: A Real-World Application in Tire Manufacturing"

   • with H.-Y. Kim, S. Joo, and H.-J. Kim

Under Review / Accepted

1. "Preference-Guided Multi-Policy Optimization for Flexible Job Shop Scheduling"

   • I. Choi, W.-J. Shin, and H.-J. Kim

   • Under review at IEEE TII

2. "Learning to Retrieve Containers: A Scale-Diverse Deep Reinforcement Learning Approach for the Container Retrieval Problem"

   • W.-J. Shin, I. Choi, S. Cho, and H.-J. Kim

   • Under review at TR-C

3. "Advances in Multi-Crane Scheduling: Extended Non-Interference Modeling and Temporal-Constraint-Based Valid Inequalities"

   • W.-J. Shin and H.-J. Kim

   • Under minor revision at EJOR

4. "Deep Reinforcement Learning for Dynamic Machine Scheduling: Insights into Update Interval and Reward Design"

   • J. Wan, W.-J. Shin, S. Lim, H.-J. Kim, and H. Shin

   • Under review at EJOR

5. "Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling"

   • I. Choi, W.-J. Shin, S. Cho, and H.-J. Kim

   • Accepted in NeurIPS 2025

Publications

1. "Mathematical Models and Heuristics for the Multi-Crane Scheduling Problem with Temporal Constraints"

   • W.-J. Shin and H.-J. Kim

   • 11th IFAC Conference on Manufacturing Modelling, Management and Control MIM. 2025.

2. "Deep Reinforcement Learning for the Container Retrieval Problem"

   • W.-J. Shin, J.-K. Jung, S.-H. Cho, and H.-J. Kim

   • IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, 2025.

3. "Resource-Constrained Parallel Machine Scheduling for Tire Manufacturing"

   • H.-Y. Kim, W.-J. Shin, S. Joo, and H.-J. Kim

   • IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, 2025.

4. "Scheduling of Steelmaking-Continuous Casting Process by Integrating Deep Neural Networks with Mixed Integer Programming"

   • W.-J. Shin, S.-W. Lee, J.-H. Lee, M.-H. Song, and H.-J. Kim

   • International Journal of Production Research (IJPR), vol. 63, no. 11, pp.4180-4201, 2025.

5. "Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse"

   • (* Co-first) S.-H. Cho*, W.-J. Shin*, J. Ahn, S. Joo, and H.-J. Kim

   • IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.

Conference Presentations

1. "Solving the Container Retrieval Problem Using a Deep Reinforcement Learning Approach"

   • W.-J. Shin and H.-J. Kim

   • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Jeju, 2025

2. "A Novel Non-Interference Strategy and Mixed Integer Programming Models for the Multi-Crane Scheduling Problem"

   • W.-J. Shin and H.-J. Kim

   • The Autumn Conference of Korean Institute of Industrial Engineers (KIIE), Seoul, 2024

3. "Self-Supervised Imitation Learning for the Blocks Relocation Problem"

   • S.-H. Cho, J.-K. Jung, W.-J. Shin, and H.-J. Kim

   • The Autumn Conference of Korean Institute of Industrial Engineers (KIIE), Seoul, 2024

4. "Graph-Based Deep Reinforcement Learning for Crane Scheduling with Temporal Constraints"

   • W.-J. Shin and H.-J. Kim

   • IEEE International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024

5. "Block Relocation Problem with Deep Reinforcement Learning"

   • J.-K. Jung, S.-H. Cho, W.-J. Shin, and H.-J. Kim

   • IEEE International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024

6. "Crane Scheduling with Graph-Based Deep Reinforcement Learning"

   • W.-J. Shin and H.-J. Kim

   • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Yeosu, 2024

7. "Resource-Constrained Parallel Machine Scheduling"

   • H.-Y. Kim, W.-J. Shin, S.-H. Joo, C.-W. Kim, T.-J. Park, M.-J. Kim, and H.-J. Kim

   • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Yeosu, 2024

8. "Dynamic Crane Scheduling with Reinforcement Learning"

   • W.-J. Shin, S.-H. Cho, J. Ahn, S. Joo, and H.-J. Kim

   • The 7th International Workshop on Production and Logistics (IWPL), Yokohama, Japan, 2024

9. "An Efficient Simulation-Based Optimization Algorithm for a Crane Scheduling Problem in a Steelmaking Shop"

   • W.-J. Shin and H.-J. Kim

   • Winter Simulation Conference (WSC), San Antonio, USA, 2023

10. "Solving the Dynamic Crane Scheduling Problem in a Steel Coil Warehouse with Reinforcement Learning"

    • W.-J. Shin, S.-H. Cho, J. Ahn, S. Joo, and H.-J. Kim

    • The Autumn Conference of Korean Institute of Industrial Engineers (KIIE), Ulsan, 2023

11. "An Exact Algorithm for the Crane Scheduling Problem in a Steelmaking Shop"

    • W.-J. Shin and H.-J. Kim

    • IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 2023

12. "Scheduling Application Cases: Focused on Insulation Material Production"

    • H.-J. Kim, W.-J. Shin, S.-W. Lee, C.-Y. Kim, I. Song, S. Moon, S. Lee, and D. Seo

    • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Jeju, 2023

13. "Crane Scheduling Problem in a Steelmaking Shop"

    • W.-J. Shin and H.-J. Kim

    • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Jeju, 2023

14. "Machine Learning and Mixed Integer Programming for the Machine Assignment in Steelmaking-Process"

    • W.-J. Shin, S.-W. Lee, M. Song, Y. Kim, J.-H. Lee, and H.-J. Kim

    • The Autumn Conference of Korean Institute of Industrial Engineers (KIIE), Incheon, 2022

15. "Machine Assignment for Steelmaking-Continuous Casting Manufacturing with Machine Learning"

    • S.-W. Lee, W.-J. Shin, M. Song, Y. Kim, J.-H. Lee, and H.-J. Kim

    • The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Jeju, 2022

16. "Single Machine Scheduling with Job Quality Levels for Battery Manufacturing"

    • S.-W. Lee, W.-J. Shin, and H.-J. Kim

    • INFORMS Annual Meeting, Online, 2021

17. "Integrated Scheduling of Machines and Cranes for Steelmaking-Continuous Casting Production"

    • W.-J. Shin, S.-W. Lee, S.-S. Park, and H.-J. Kim

    • INFORMS Annual Meeting, Online, 2021

Research Projects

1. 시운전 프로젝트 스케줄링 (Nov 2024 – Oct 2025)

   • with Samsung E&A

   • Large-Scale Robust Project Scheduling

2. 설계 DB 내 유사회로 탐색을 위한 Circuit Recognition (Mar 2024 – Oct 2024)

   • with SK Hynix

   • Circuit Recognition for Pattern Detection

3. 디지털트윈 기반 반제품 생산 스케줄링 (Nov 2023 – Oct 2024)

   • with Hankook Tire & Technology

   • Development of a Tire Production Scheduling Algorithm

4. 강화학습 기반 크레인 스케줄링 (Jul 2023 – Dec 2023)

   • with AI Platform Center for Manufacturing at KAIST

   • Reinforcement Learning-Based Dynamic Crane Scheduling

   • Research paper: Published a research paper titled “Dynamic crane scheduling with reinforcement learning for a steel coil warehouse” in IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024.

5. 최적화 기반의 제강 크레인 관제 알고리즘 개발 (Oct 2022 – Sep 2023)

   • with POSCO

   • Optimization-Based Steelmaking Crane Control and Ladle Scheduling

6. 최적 혼류 생산계획 수립 모델 개발 (May 2022 – Dec 2022)

   • with LG Electronics

   • Development of an Optimization Model for Mixed-Model Production Scheduling

7. 반도체 자동 반송장비 OHT 시스템 트랙 이물질 감지 알고리즘 개발 (Jul 2021 – Dec 2021)

   • with AI Platform Center for Manufacturing at KAIST

   • Detection of Abnormal Substances for the Semiconductor OHT System

8. 제강 Crane 관제 알고리즘 개발 (Jun 2021 – May 2022)

   • with POSCO

   • Development of Machine Scheduling Algorithm in a Steelmaking Shop

   • Research paper: Published a research paper titled “Scheduling of steelmaking-continuous casting process by integrating deep neural networks with mixed integer programming” in International Journal of Production Research (IJPR), vol. 63, no. 11, pp.4180-4201, 2025.

Awards

1. Grand Prize, Poster Competition for Industrial/Social Problem Solving

   • The Department of Industrial and Systems Engineering, KAIST, Nov 2024

2. Grand Prize, 2023 Advanced Manufacturing and Smartification Challenge Outcomes Presentation

   • AI Platform Center for Manufacturing at KAIST, Jan 2024

3. 1st Place Award, 2023 Simulation Challenge

   • Winter Simulation Conference (WSC), Dec 2023

4. Excellent Prize, Master’s Thesis Competition

   • The Korean Institute of Industrial Engineers (KIIE), Jun 2023

Contact

• wjshin@kaist.ac.kr

• +82 10-5611-5790

• https://msslab.kaist.ac.kr/