Professor

Hyun-woo Jeon Professor
- Degree
- Pennsylavania State University Doctor of Engineering
- Major
- 지능형 생산시스템, 시뮬레이션, 생산 에너지 모델링, 머신러닝
- Interest
- Methodology, Application Areas
Education
• Ph.D. & M.S., Pennsylvania State University, Industrial Engineering (2015, 2013)
• B.E., Korea University, Industrial Engineering (2001)
Career
[Appointment & Experience]
• Kyung Hee University, South Korea (2021 – Present) Assistant Professor, Department of Industrial and Management Systems Engineering
• Louisiana State University, Baton Rouge, LA, USA (2015 – 2021)
Assistant Professor, Department of Mechanical and Industrial Engineering
• Louisiana State University - Industrial Assessment Center (LSU-IAC) (2016 – 2021)
Assistant Director
• Politecnico di Milano, Milan, Italy (2014)
Visiting Researcher, Department of Management, Economics and Industrial Engineering
• Pennsylvania State University, University Park, PA, USA (2010 – 2015)
Instructor, Teaching/Research Assistant, Department of Industrial and Manufacturing Engineering
• Samsung Networks, Seoul, South Korea (2001 – 2009)
Computer Network Specialist
[Research Grants]
• “Development of a Machine Vision System for a Low-Cost Smart Retrofitted Manufacturing System”, National Research Foundation of Korea (NRF), 2021 – 2022, PI.
• “Louisiana State University - Industrial Assessment Center (LSU-IAC)”, U.S. Department of Energy (DOE) - Industrial Assessment Centers Program, 2016 – 2026, Co-PI.
• “Pollution Prevention (P2) for Manufacturers using Economy, Energy and Environment (E3) Framework”, U.S. Environmental Protection Agency (EPA) - Pollution Prevention (P2) Grant Program, 2020 –2022, Co-PI.
• “A Unified Dynamic Control for Energy-Aware Electrical Vehicle Operations”, Toyota Material Handling North America - University Research Program (TMHNA-URP), 2018, Co-PI.
• “Optimizing Configuration of Natural Gas Wells”, LSU - Halliburton Scholars Program, 2017 –2018, PI.
• “Estimating Energy Consumption of Manufacturing Systems based on Queueing Theory”, LSU - Summer Stipend Program, 2016, PI.
• LSU, Office of Research and Economic Development, Faculty Travel Grant, 2016, PI.
• LSU, Office of Academic Affairs, Teaching Enhancement Funds (TEF), 2016, PI.
• LSU, Office of Research and Economic Development, Faculty Travel Grant, 2016, PI.
Paper
[Journal Papers: SCI-E or SSCI only]
• Wu, C., A. Kargarian, and H.W. Jeon: “Data-driven Nonparametric Joint Chance Constraints for Economic Dispatch with Renewable Generation” accepted to IEEE Transactions on Industry Applications (Impact Factor: 3.654) (2021).
• Hassan, M., H.W. Jeon, G. Kim, and K. Park: “The Effects of Infill Patterns and Infill Rates on Energy Consumption in Fused Filament Fabrication Using CFR-PEEK” accepted to Rapid Prototyping Journal (Impact Factor: 3.099) (2021).
• Lee, S.G., H.W. Jeon, M. Issabakhsh, and A. Ebrahimi: “An Electric Forklift Routing Problem with Battery Charging and Energy Penalty Constraints” Journal of Intelligent Manufacturing (2021), Published online (Impact Factor: 4.311). https://doi.org/10.1007/s10845-021-01763-6
• Ghanbari, L., C. Wang, and H.W. Jeon: “Industrial Energy Assessment Training Effectiveness Evaluation: An Eye-Tracking Study” Sensors (2021), 21(5), 1584, 17 pages (Impact Factor: 3.275). https://doi.org/10.3390/s21051584
• Jeon, H.W., S.H. Chung, and K. Park: “A Nonparametric Approach to Modeling Dependence among Production Parameters for Energy Cost Estimation” International Journal of Advanced Manufacturing Technology (2020), 108(5), 1913-1930 (Impact Factor: 2.633). https://doi.org/10.1007/s00170-020-05511-7
• Ebrahimi, A., H.W. Jeon, S.G. Lee, and C. Wang: “Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms” Computers & Industrial Engineering (2020), 141, 106295, 21 pages (Impact Factor: 4.135). https://doi.org/10.1016/j.cie.2020.106295
• Lee, S.G., M. Issabakhsh, H.W. Jeon, S.W. Hwang, and B.D. Chung: “Idle Time and Capacity Control for a Single Machine Scheduling Problem with Dynamic Electricity Pricing” Operations Management Research (2020), 13(3), 197-217 (Impact Factor: 2.000). https://doi.org/10.1007/s12063-020-00156-x
• Bangaru, S.S., C. Wang, X. Zhou, H.W. Jeon, and Y. Li: “Gesture Recognition based Smart Training Assistant System for Construction Worker Earplugs Wearing Training” Journal of Construction Engineering and Management (2020), 146(12), 04020144, 12 pages (Impact Factor: 3.380). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001941
• Chung, S.H., R. Weaver, and H.W. Jeon: “Sustainable Management of Remanufacturing in Dynamic Supply Chains” Networks and Spatial Economics (2020), 20(3), 703-731 (Impact Factor: 2.375). https://doi.org/10.1007/s11067-020-09493-7
• Park, K., G. Kim, H. No, H.W. Jeon, and G. Kremer: “Identification of Optimal Process Parameter Settings Based on Manufacturing Performance for Fused Filament Fabrication of CFR-PEEK” Applied Sciences (2020), 10(13), 4630, 23 pages (Impact Factor: 2.474). https://doi.org/10.3390/app10134630
• Al-Mashraie, M., S.H. Chung, and H.W. Jeon: “Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: a machine learning approach” Computers & Industrial Engineering (2020), 144, 106476, 14 pages (Impact Factor: 4.135). https://doi.org/10.1016/j.cie.2020.106476
• Iqbal, M.W., Y.C. Kang, and H.W. Jeon: “Zero waste strategy for green supply chain management with minimization of energy consumption” Journal of Cleaner Production (2020), 245, 118827, 17 pages (Impact Factor: 7.246). https://doi.org/10.1016/j.jclepro.2019.118827
• Bangaru, S.S., C. Wang, M. Hassan, H.W. Jeon, and T. Ayiluri: “Estimation of the degree of hydration of concrete through automated machine learning based microstructure analysis – A study on effect of image magnification” Advanced Engineering Informatics (2019), 42, 100975, 10 pages (Impact Factor: 3.879). https://doi.org/10.1016/j.aei.2019.100975
• Jeon, H.W., S.G. Lee, and C. Wang: “Estimating Manufacturing Electricity Costs by Simulating Dependence between Production Parameters” Robotics and Computer Integrated Manufacturing (2019), 55, Part A, 129–140 (Impact Factor: 5.057). https://doi.org/10.1016/j.rcim.2018.07.009
• Lee, S.G., B.D. Chung, H.W. Jeon, and J.Y. Chang: “A Dynamic Control Approach for Energy-Efficient Production Scheduling on a Single Machine Under Time-Varying Electricity Pricing” Journal of Cleaner Production (2017), 165, 552–563 (Impact Factor: 7.246). https://doi.org/10.1016/j.jclepro.2017.07.102
• Jeon, H.W., S.G. Lee, A. Kargarian, and Y.C. Kang: “Power Demand Risk Models on Milling Machines” Journal of Cleaner Production (2017), 165, 1215–1228 (Impact Factor: 7.246). https://doi.org/10.1016/j.jclepro.2017.07.101
• Jeon, H.W., M. Taisch, and V. Prabhu: “Measuring Variability on Electrical Power Demands in Manufacturing Operations” Journal of Cleaner Production (2016), 137, 1628–1646 (Impact Factor: 7.246). https://doi.org/10.1016/j.jclepro.2016.03.102
• Jeon, H.W., M. Taisch, and V. Prabhu: “Modelling and Analysis of Energy Footprint of Manufacturing Systems” International Journal of Production Research (2015), 53(23), 7049–7059 (Impact Factor: 4.577). http://dx.doi.org/10.1080/00207543.2014.961208
[Book Chapters & Conference Proceedings]
• Jeon, H.W. and V. Prabhu: “Modeling Energy Performance of Manufacturing Systems using GI/M/1 Queues” in Advances in Production Management Systems. Sustainable Production and Service Supply Chains, edited by V. Prabhu, M. Taisch, and D. Kiritsis, pp. 127–134. IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg (2013). https://doi.org/10.1007/978-3-642-41266-0_16
• Jeon, H.W. and V. Prabhu: “Modeling Green Fabs – A Queuing Theory Approach for Evaluating Energy Performance” in Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services, edited by C. Emmanouilidis, M. Taisch, and D. Kiritsis, pp. 41–48. IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg (2013). https://doi.org/10.1007/978-3-642-40352-1_6
• Prabhu, V., H.W. Jeon, and M. Taisch: “Simulation Modelling of Energy Dynamics in Discrete Manufacturing Systems” in Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, edited by T. Borangiu, A. Thomas, and D. Trentesaux, pp. 293–311. Studies in Computational Intelligence 472. Springer Berlin Heidelberg (2013). https://doi.org/10.1007/978-3-642-35852-4_19
• Vyas, V. and H.W. Jeon: “Simulating a Manufacturing System including an Air Compressor for Reducing Energy Costs” in Proceedings of ACEEE 2021 Summer Study on Energy Efficiency in Industry, Virtual, 07/12-07/15 (2021).
• Hassan, M. and H.W. Jeon: “Investigating Performance of Machine Learning Algorithm for Forecasting Time Series Electrical Demands based on a Simulation” in Proceedings of IISE Annual Conference and Expo 2021, Virtual, 05/19-05/22 (2021).
• Hassan, M., A. Ebrahimi, H.W. Jeon, and C. Wang: “Compressed air leakage detection and quantification through infrared thermography” in Proceedings of IISE Annual Conference and Expo 2020, Virtual, 11/01-11/03 (2020).
• Vyas, V. and H.W. Jeon: “Estimating Energy Costs by Simulating Dependence between Turning Parameters” in Proceedings of IISE Annual Conference and Expo 2020, Virtual, 11/01-11/03 (2020).
• Ebrahimi, A. and H.W. Jeon: “A hybrid metaheuristic for minimizing total tardiness and electricity costs” in Proceedings of IISE Annual Conference and Expo 2019, Orlando, FL, USA, 05/18-05/21 (2019).
• Ebrahimi, A. and H.W. Jeon: “Minimizing total tardiness and energy cost by considering layout and scheduling in a flexible job shop” in Proceedings of IISE Annual Conference and Expo 2018, Orlando, FL, USA, 05/19-05/22 (2018).
• Jeon, H.W. and S.G. Lee: “Manufacturing Energy Consumption Model for Product Mix and Design” in Proceedings of 26th International Conference on FAIM, Seoul, South Korea, 06/27-06/30 (2016).
• Prabhu, V., H.W. Jeon, and M. Taisch: “Modeling Green Factory Physics – An Analytical Approach” in Proceedings of 8th IEEE International Conference on Automation Science and Engineering (CASE), Seoul, South Korea, 08/20-08/24 (2012). http://doi.org/10.1109/CoASE.2012.6386361
Conference
• 1st place award in Annual IIE/SHS Student Simulation Competition, Healthcare Systems Process Improvement Conference 2016, Houston, TX, USA (02/19/2016) [Justin Neilson, Michael Toler, and Dana Pascoe] (Advisor: Dr. H.W. Jeon).
• Vyas, V. and H.W. Jeon: “Simulating a Manufacturing System including an Air Compressor for Reducing Energy Costs” in ACEEE 2021 Summer Study on Energy Efficiency in Industry, Virtual, 07/12-07/15 (2021).
• Hassan, M. and H.W. Jeon: “Investigating Performance of Machine Learning Algorithm for Forecasting Time Series Electrical Demands based on a Simulation” in IISE Annual Conference and Expo 2021, Virtual, 05/19-05/22 (2021).
• Jeon, H.W.: “Simulating Manufacturing Energy Consumption with A Nonparametric Correlation Approach” in IISE Annual Conference and Expo 2020, Virtual (11/01 to 11/03/2020).
• Hassan, M., A. Ebrahimi, H.W. Jeon, and C. Wang: “Compressed air leakage detection and quantification through infrared thermography” in IISE Annual Conference and Expo 2020, Virtual (11/01 to 11/03/2020).
• Vyas, V. and H.W. Jeon: “Estimating Energy Costs by Simulating Dependence between Turning Parameters” in IISE Annual Conference and Expo 2020, Virtual (11/01 to 11/03/2020).
• Jeon, H.W.: “Manufacturing Energy Models – A Time Series Approach” in IISE Annual Conference and Expo 2019, Orlando, FL, USA (5/20/2019) [INVITED].
• Ebrahimi, A. and H.W. Jeon: “A hybrid metaheuristic for minimizing total tardiness and electricity costs” in IISE Annual Conference and Expo 2019, Orlando, FL, USA (05/20/2019).
• Jeon, H.W.: “Simulating Manufacturing Electricity Loads with Discrete Event and Numerical Approaches” in IISE Annual Conference and Expo 2018, Orlando, FL, USA (05/21/2018).
• Ebrahimi, A. and H.W. Jeon: “Minimizing total tardiness and energy cost by considering layout and scheduling in a flexible job shop” in IISE Annual Conference and Expo 2018, Orlando, FL, USA (05/21/2018).
• Jeon, H.W.: “Manufacturing Energy Models on Probabilistic Approaches” in IISE Annual Conference and Expo 2017, Pittsburgh, PA, USA, (05/23/2017).
• Jeon, H.W.: “Measuring Power Demand Risks on Material Cutting Processes” at University of Houston, Department of Industrial Engineering, Houston, TX, USA (09/23/2016) [INVITED].
• Jeon, H.W.: “Measuring Variability on Electrical Power Demands in Manufacturing Operations” in SSCET 2016 Conference, Jackson, MS, USA (08/24/2016) [INVITED].
• Jeon, H.W. and S.G. Lee: “Manufacturing Energy Consumption Model for Product Mix and Design” in FAIM 2016 Conference, Seoul, Korea, (06/28/2016).
• Jeon, H.W.: “Analytical Manufacturing Energy Model for Product Mix and Design” in IISE Annual Conference and Expo 2016, Anaheim, CA, USA, (05/23/2016).
• Jeon, H.W.: “Manufacturing Energy Models based on Probabilistic Approaches” in Louisiana State University, Department of Mathematics, Baton Rouge, LA, USA (11/30/2015) [INVITED].
• Jeon, H.W. and V. Prabhu: “Modelling and Analysis of Energy Footprint of Manufacturing Systems” in Biennial Workshop in Service Engineering (BeWiSE), Energy-Aware Operations in Manufacturing and Service Enterprises, Philadelphia, PA, USA (09/16-17/2014) (poster only).
• Jeon, H.W.: “Modeling and Estimating Manufacturing Energy” in Politecnico di Milano, Milan, Italy (07/03/2014).
• Jeon, H.W. and V. Prabhu: “Modeling Energy Performance of Manufacturing Systems using GI/M/1 Queues” in APMS 2013 International Conference, State College, PA, USA (09/10/2013).
• Jeon, H.W.: and V. Prabhu: “Energy Model of Manufacturing System based on Queueing Network” in Ph.D. Workshop of APMS 2013 International Conference, State College, PA, USA (09/10/2013).
Interest
• Methodology: Simulation, Machine Learning, Applied Probability/Statistics, Queueing
• Application Areas: Intelligent Manufacturing/Service Systems, Manufacturing Energy