Korea University Department of

Battery Engineering
Smart Factory

Professor

Professor

Korea University Department of [Smart Factory]

Taesu Cheong

Taesu Cheong (정태수)

Supply Chain & Value Network Analytics Lab.

Lab Introduction

공급사슬 및 가치망 분석 연구실(SaVAnNA; Supply chain & Value Network Analytics Lab)에서는 다양한 서비스 및 공급망 시스템의 운영을 개선하고 비즈니스 분석 방법론을 연구합니다. 데이터 기반 공급망 분석을 통해 전략적 및 전술적 운영 수준에서 의사 결정을 가능하게 함으로써 운영 효율성을 증대하고, 4차 산업혁명 기술을 접목하여 스마트 제조, 물류 및 공급망 시스템의 최적 운영방안을 연구, 개발하는 것을 목표로 하고 있습니다. 또한 수리최적화 및 최신 AI/ML 기반의 배터리 생산계획, 물류 최적화 및 BMS 제어와 관련된 연구를 수행하고 있습니다.

Lab Information

  • 공급사슬 및 가치망 분석 연구실
  • 02-3290-3484
  • tcheong@korea.ac.kr
Website

Profile

Mar. 2021-Present
Professor, School of Industrial and Management Engineering, Korea University, Korea
Sep. 2019-Present
Professor, Department of Battery-Smart Factory, Korea University, Korea
Mar. 2019-Present
Principal Professor, Department of Smart Manufacturing, Korea University, Korea
Jul. 2022-Present
Division Manager, LINC3.0 Business Division, Korea University, Korea
Jul. 2022-Present
Director, Center for Convergence Industrial, Korea University, Korea

Education

Ph. D.
2011 School of Industrial and Systems Engineering, Georgia Institute of Technology, Georgia, USA
M. S.
2001 School of Industrial Engineering, Korea Advanced Institute of Science and Technology(KAIST), Korea
B. S.
1998 School of Industrial Engineering, Korea University, Korea

Research Interest

  • Supply Chain Management
  • Intelligent transportation systems (ITS)
  • Machine learning & artificial intelligence (AI) and their applications on smart manufacturing and logistics

Publications

  • Cha,H., Kim, D., Eun. J. *, Cheong, T. * (2023) “Collaborative Traveling Salesman Problem with Ground Vehicle as a Charger for Unmanned Aerial Vehicle,” Transportation Letters, Vol. 15(7), pp.707-721; doi:10.1080/19427867.2022.2082006
  • Lee, M., Hong, J., Cheong, T. *, Lee, H. (2022). “Flexible Delivery Routing for Elastic Logistics: a Model and an Algorithm”, IEEE Transactions on Intelligent Transportation Systems (SCIE), Vol. 23(7), pp. 6864 – 6882; doi:10.1109/TITS.2021.3063195
  • Zhang, X. , Son, Y. , Cheong, T. , S. Choi* (2022). “Affine-arithmetic-based microgrid interval optimization considering uncertainty and battery energy storage system degradation”, Energy (SCIE), Vol. 242, 123015; doi:10.1016/j.energy.2021.123015.
  • Yoo, S. H., Cheong, T. * (2021) “Inventory Model for Sustainable Operations of a Closed-Loop Supply Chain: Role of a Third-Party Refurbisher,” Journal of Cleaner Production (SCIE),Vol. 315, 127810; doi:10.1016/j.jclepro.2021.127810
  • Lee, S., Kim, Y., Kahng, H., Lee, S.-K., Chung, S., Cheong, T., Shin, K., Park, J., Kim, S.B.* (2020). “Intelligent traffic control for autonomous vehicle systems based on machine learning,” Expert Systems with Applications (SCIE), Vol. 144, 113074; doi:10.1016/j.eswa.2019.113074
  • Chung, S., Park. Y. W. *, Cheong, T. (2020). “A mathematical programming approach for integrated multiple linear regression subset selection and validation,” Pattern Recognition (SCIE), Vol. 108, 107565; doi:10.1016/j.patcog.2020.107565
  • Moon, J.,Kim, Y.J., Cheong, T. * , Song, S. H.* (2020). “Locating Battery Swapping Stations for a Smart e-Bus System,” Sustainability (SSCI), Vol. 12(3), 1142; doi:10.3390/su12031142.
  • Yu, D. Z.*, Cheong, T. and Sun, D. (2017) “Impact of Supply Chain Power and Drop-Shipping on a Manufacturer’s Optimal Distribution Channel Strategy,” European Journal of Operational Research (SCIE), Vol. 259(2), pp. 554-563, doi:10.1016/j.ejor.2016.11.025.
  • Yoo, S. H. and Cheong, T. * (2018) “Quality Improvement Incentive Strategies in a Supply Chain,” Transportation Research Part E: Logistics and Transportation Review (SCIE/SSCI), Vol. 114, pp. 331-342, doi:10.1016/j.tre.2018.01.005.

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