Hyun Woo Jeon

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Assistant Professor of Industrial Engineering

3290B Patrick F. Taylor Hall

Department of Mechanical & Industrial Engineering

Louisiana State University

Baton Rouge, LA 70803

hwjeon@lsu.edu

225-578-5905

Educational Background

  • Ph.D., Industrial Engineering, Pennsylvania State University, University Park, 2015
  • M.S., Industrial Engineering, Pennsylvania State University, University Park, 2013
  • B.Eng., Industrial Engineering, Korea University, Seoul, 2001

Research Goal

To model, analyze, and improve manufacturing or service systems with operations research methods.

Research Overview

  • Methodologies
    • Applied Probability Theory
    • Queueing network
    • Discrete event simulation
    • Optimization
    • Design of experiments
  • Application areas
    • Manufacturing systems
    • Energy consumption and power demand
    • Service systems
    • Production scheduling

Projects

  • My current interest is to analyze, model, and forecast power demand on manufacturing/service systems with probabilistic approaches.
  • Relevant projects include a study to optimize production schedule at a system level with energy and production constraints and the LSU-IAC and TMHNA projects. Please see the below information for more details.

Selected Publications

Jeon, H.W., S.H. Chung, and K. Park: “A Nonparametric Approach to Modeling Dependence among Production Parameters for Energy Cost Estimation” Accepted to International Journal of Advanced Manufacturing Technology (05/2020).

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” Accepted to Operations Management Research (04/2020).

Chung, S.H., R. Weaver, and H.W. Jeon: “Sustainable Management of Remanufacturing in Dynamic Supply Chains” Accepted to Networks and Spatial Economics (01/2020). https://doi.org/10.1007/s11067-020-09493-7

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. https://doi.org/10.1016/j.cie.2020.106476

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. https://doi.org/10.1016/j.cie.2020.106295

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. https://doi.org/10.1016/j.jclepro.2019.118827

Hassan, M., A. Ebrahimi, H.W. Jeon, and C. Wang: “Compressed air leakage detection and quantification through infrared thermography” Accepted to Proceedings of IISE Annual Conference and Expo 2020 (03/2020).

Vyas, V. and H.W. Jeon: “Estimating Energy Costs by Simulating Dependence between Turning Parameters” Accepted to Proceedings of IISE Annual Conference and Expo 2020 (03/2020).

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, 129–140. https://doi.org/10.1016/j.rcim.2018.07.009

Bangaru, S.S., C. Wang, M. Hassan, H.W. Jeon, and T. Ayiluri: “Estimation of Degree of Hydration in Concrete through Automated Machine Learning based Microstructure Analysis” Advanced Engineering Informatics (2019), 42, 100975. https://doi.org/10.1016/j.aei.2019.100975

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, May 18-21 (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, May 19-22 (2018).

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. https://doi.org/10.1016/j.jclepro.2017.07.101

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. https://doi.org/10.1016/j.jclepro.2017.07.102

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. https://doi.org/10.1016/j.jclepro.2016.03.102

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, Jun. 27-30 (2016).

Jeon, H.W., M. Taisch, and V. Prabhu: “Modelling and Analysis of Energy Footprint of Manufacturing Systems” International Journal of Production Research (2015), 53, 7049–7059. https://dx.doi.org/10.1080/00207543.2014.961208

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://link.springer.com/chapter/10.1007%2F978-3-642-35852-4_19

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, Aug. 20-24 (2012). https://doi.org/10.1109/CoASE.2012.6386361

Grant Funding

Project Title: Louisiana State University - Industrial Assessment Center (LSU-IAC)

  • Source of Support: Department of Energy
  • Total Award Period Covered: 09/01/16 – 08/31/21
  • Website: https://iac.university/

Project Title: A Unified Dynamic Control Framework for Energy Aware Electric Vehicle Operations

  • Source of Support: Toyota Material Handling North America (TMHNA)
  • Total Award Period Covered: 01/01/18 – 12/31/18
  • Collaborative research with Dr. Seokgi Lee at University of Miami

Graduate Student Funding/Hiring Opportunities

  • I am looking for highly self-motivated graduate students to join my research group.
  • Students with strong mathematical background in IE, ME, or EE will be preferred.
  • Research experience with manufacturing processes or power system models will also be a plus.
  • Any questions? Feel free to contact me.

 

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