| Learning dispatching rules using random forest in flexible job shop scheduling problems S Jun, S Lee, H Chun International Journal of Production Research 57 (10), 3290-3310, 2019 | 77 | 2019 |
| 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 S Jun, J Park Expert Systems with Applications 42 (15-16), 6196-6204, 2015 | 55 | 2015 |
| Operational performance metrics in manufacturing process: based on SCOR model and RFID technology G Hwang, S Han, S Jun, J Park International Journal of Innovation, Management and Technology 5 (1), 50-55, 2014 | 49 | 2014 |
| Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots S Jun, S Lee, Y Yih European Journal of Operational Research 289 (3), 1153-1168, 2021 | 44 | 2021 |
| Determining business models in bottom‐of‐the‐pyramid markets S Jun, D Lee, J Park Industrial Management & Data Systems 113 (7), 1064-1082, 2013 | 31 | 2013 |
| Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction S Jun, S Lee International Journal of Production Research 59 (9), 2838-2856, 2021 | 29 | 2021 |
| Camera placement in smart cities for maximizing weighted coverage with budget limit S Jun, TW Chang, H Jeong, S Lee IEEE Sensors Journal 17 (23), 7694-7703, 2017 | 28 | 2017 |
| Evolutionary neural network for learning of scalable heuristics for pickup and delivery problems with time windows S Jun, S Lee Computers & Industrial Engineering 169, 108282, 2022 | 7 | 2022 |
| Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search S Jun, CH Choi, S Lee International Journal of Production Research 60 (13), 4090-4116, 2022 | 6 | 2022 |
| Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+ TRA health’ D Wang, R Kerh, S Jun, S Lee, RW Mayega, J Ssentongo, A Oumer, ... BMC Medical Informatics and Decision Making 22 (1), 239, 2022 | 4 | 2022 |
| Movable Unmanned Aerial System: Optimization of System, Resource Design and Drone Routing BD Song, S Jun, HY Jung, S Lee Procedia Manufacturing 39, 300-306, 2019 | 3 | 2019 |
| Feature Extraction With Genetic Programming for Root Cause Identification in Manufacturing With Interpretable Machine Learning CG Lee, S Jun IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
| Scheduling and Control with Machine Learning in Manufacturing Systems S Jun Purdue University, 2020 | | 2020 |
| A hybrid genetic algorithm for the hybrid flow shop scheduling problem S Jun, J Park | | 2015 |
| 재구성 생산 시스템을 위한 스케줄러 및 시뮬레이터 개발 한수민， 전성범， 김현준， 박진우， 이종국， 강경철 대한기계학회 춘추학술대회, 198-199, 2014 | | 2014 |
| 재구성생산시스템을 위한 생산능력 시뮬레이터 개발 서진우， 한수민， 전성범， 박진우， 이종국， 강경철 한국정밀공학회 학술발표대회 논문집, 251-252, 2013 | | 2013 |
| Development of a Strategic Model for Freight Transportation with a Case Study of the Far East L Coulet, S Jun, J Park Advances in Production Management Systems. Sustainable Production and …, 2013 | | 2013 |
| Scheduling Delivery of Donated Foods with Service Delay Considerations RS Sucharitha, S Jun, S Lee | | |
| 변압기 생산 공정의 일정계획 알고리즘 성능 평가 및 개선 전성범， 김성훈， 박진우 | | |
Seokcheon LeePurdue UniversityVerified email at purdue.edu
