Publications

Lee, C. & Jun, S. (2024) Feature Extraction with Genetic Programming for Root Cause Identification in Manufacturing with Interpretable Machine Learning. Accepted for publication in IEEE Transactions on Evolutionary Computation.

Wang, D., Kerh, R., Jun, S., Lee, S., Mayega, R., Ssentongo, J., Oumer, A., Haque, M., Brunese, P. & Yih, Y. (2022). Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+TRA Health’. BMC Medical Informatics and Decision Making, 22, 239.

Jun, S. & Lee, S. (2022). Evolutionary Neural Network for Learning of Scalable Heuristics for Pickup and Delivery Problems with Time Windows. Computers & Industrial Engineering, 169, 108282.

Jun, S., Choi, C., & Lee, S. (2022). Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search. International Journal of Production Research, 60(13), 4090-4116.

Jun, S. & Lee, S. (2021). Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction. International Journal of Production Research, 59(9), 2838-2856.

Jun, S., Lee, S., & Yih, Y. (2021). Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots. European Journal of Operational Research, 289(3), 1153-1168. 

Jun, S., Lee, S., & Chun, H. (2019). Learning dispatching rules using random forest in flexible job shop scheduling problems. International Journal of Production Research, 57(10), 3290-3310.

Jun, S., Chang, T. W., Jeong, H., & Lee, S. (2017). Camera Placement in Smart Cities for Maximizing Weighted Coverage With Budget Limit. IEEE Sensors Journal, 17(23), 7694-7703.

Jun, S., & Park, J. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry. Expert Systems with Applications, 42(15-16), 6196-6204.

Jun, S., Lee, D., & Park, J. (2013). Determining business models in bottom-of-the-pyramid markets. Industrial Management & Data Systems, 113(7), 8-8.

Jun, S. & Kang, K. Induction of Rules from Given Schedules for Identical Parallel Machine Scheduling. Manuscript submitted for publication.

Kang, K., S. Gupta, I. Hur. & Jun, S. Optimal Policy for Managing Stochastic Cash Flows in a Financial Supply Chain. Under major revision, Production and Operations Management.

Kim, Y., Jun, S. & Lee, S. Leveraging Explainable AI Framework for Formulation of Composite Dispatching Rules for Overhead Hoist Transports in Semiconductor Manufacturing. Manuscript submitted for publication.

Jeong, H.Y., Song, B., Jun, S. & Lee, S. (2019). Movable Unmanned Aerial System: Optimization of System, Resource Design and Drone Routing. Proceedings of the 25th International Conference on Production Research. (First runner up for ICPR 2019 Best Paper)

Hwang, G., Han, S., Jun, S. & Park, J. (2014). Operational Performance Metrics in Manufacturing Process: Based on SCOR Model and RFID Technology. International Journal of Innovation, Management and Technology 5(1), 50-55.

Coulet, L., Jun, S. & Park, J. (2013). Development of a Strategic Model for Freight Transportation with a Case Study of the Far East. Advances in Production Management Systems 2013.