Geun-Cheol Lee

EDUCATION

• Ph.D. Industrial Engineering, Korea Advanced Institute of Science and Technology (KAIST)

• M.S. Industrial Engineering, Korea Advanced Institute of Science and Technology

• B.A. Industrial Engineering, Korea University

WORK EXPERIENCE

• Professor, College of Business Administration, Konkuk University 2015-present.

• Head, Department of Business Administration, Graduate School, Konkuk University 2020-2022.

• Visiting Scholar, CAPS, University of Oregon, 2018-2019.

• Head, KP-MBA (TOP-MBA) program, Graduate School of Business, Konkuk University 2015-2018

• Associate Professor, College of Business Administration, Konkuk University 2010-2015.

• Head, Undergraduate program, Department of Business Administration, Konkuk University 2012-2014.

• Visiting Scholar, Graduate School of Management, UC Davis 2011-2012.

• Assistant Professor, College of Business Administration, Konkuk University 2006-2010.

• Postdoctoral Scholar, University of California Davis, 2003-2006.

RESEARCH INTERESTS

• Operations Management

• Scheduling

• Heuristic Search Optimization

• Time Series Forecasting

PUBLICATIONS (Refereed journal articles)

1. Heejung Lee, Geun-Cheol Lee, Hoon-Young Koo, 2024. Exploring the Relationship between Rarity and Price of Profile Picture NFT: A Formal Concept Analysis on the BAYC NFT Collection. Blockchain: Research and Applications Vol. 5, No. 2 100191 (2024 June.)

2. Jong-Ho Shin, Seung-Kil Lim, Jae-Gon Kim, Geun-Cheol Lee and June-Young Bang, 2023. Development of a DNN Predictive Model for the Optimal Operation of an Ambient Air Vaporizer of LNG. Processes Vol. 11, No. 11 3143. (2023 Nov.)

3. Hoon-Young Koo, Geun-Cheol Lee, Heejung Lee, 2023. Latent class analysis of a collectible NFT according to rarity and properties. Journal of the Korean Institute of Industrial Engineers Vol. 49, No. 4 pp. 309-318. (2023 Aug.) (Korean)

4. Geun-Cheol Lee, Heejung Lee, Hoon-Young Koo, 2023. Forecasting Container Throughput of Busan Port using SARIMAX. Korean Management Science Review Vol. 40, No. 2 pp. 1-13. (2023 Jun.) (Korean)

5. Geun-Cheol Lee, Heejung Lee, Hoon-Young Koo, 2023. A Study on Value Determinants of Profile Picture NFTs Using Hedonic Models. Journal of the Korean Institute of Industrial Engineers Vol. 49, No. 1 pp. 45-62. (2023 Feb.) (Korean)

6. Geun-Cheol Lee 2022. Regression-Based Methods for Daily Peak Load Forecasting in South Korea. Sustainability Vol. 14, No. 7 3984. (2022 Mar.)

7. Hoon-Young Koo, Heejung Lee, Geun-Cheol Lee 2021. R&D Performance Analysis of Government-Funded Research Institutes Using Formal Concept Analysis. Journal of the Korean Institute of Industrial Engineers Vol. 47, No. 6 pp. 490-503. (2021 Dec.) (Korean)

8. Geun-Cheol Lee and Jung-Hee Han 2020. Forecasting Gas Demand for Power Generation with SARIMAX models. Korean Management Science Review Vol. 37, No. 4 pp. 67-78. (2020 Dec.) (Korean)

9. Geun-Cheol Lee and Seong-Hoon Choi 2020. Forecasting Foreign Visitors using SARIMAX Models with the Exogenous Variable of Demand Decrease. Journal of Society of Korea Industrial and Systems Engineering Vol. 43, No. 4 pp. 59-66 (2020 Dec.) (Korean)

10. Geun-Cheol Lee 2020. Regression based methods with interaction effects for daily peak load forecasting. Journal of Management and Economics Vol. 42, No. 2 pp. 77-97 (2020 May.) (Korean)

11. Jung-Hee Han and Geun-Cheol Lee 2020. Forecasting Daily Peak Load in Summer Season. Journal of the Korean Institute of Industrial Engineers Vol. 46, No. 1 pp. 25-33 (2020 Feb.) (Korean)

12. Geun-Cheol Lee and Jung-Hee Han 2019. Forecasting the Daily Peak Load of South Korea During the Winter Season : A Case Study on Open Public Data Usage. Journal of the Korean Operations Research and Management Science Society Vol. 44, No. 4 pp. 49-58 (2019 Nov.) (Korean)

13. Geun-Cheol Lee and Jung-Hee Han 2017. Forecasting Daily Peak Load of Domestic Electricity Demand. Journal of Industrial Economics and Business Vol. 30, No. 4 pp. 1205-1218 (2017 Aug.) (Korean)

14. Geun-Cheol Lee and Jung-Hee Han 2016. Short-term demand forecasting of natural gas. The Konkuk Journal of Business and Economic Studies Vol. 41, No. 2 pp. 71-90 (2016 Oct.) (Korean)

15. Geun-Cheol Lee, Jung Man Hong, Jung-Ug Kim and Seong-Hoon Choi, 2016. A simulation study on capacity planning in reentrant hybrid flowshops. Journal of the Korea Society for Simulation Vol. 25, No. 1, pp. 45-53. (2016 Mar.) (Korean)

16. Jung-Hee Han and Geun-Cheol Lee 2016. Forecasting hourly demand of city gas in Korea. Journal of the Korea Academia-Industrial Cooperation Society Vol. 17, No. 2, pp. 87-95 (2016 Feb.) (Korean)

17. Geun-Cheol Lee, Martin Hohenrieder, Jean-Paul Watson, David L. Woodruff, 2015. Chance and service level constraints for stochastic generation expansion planning. NETNOMICS: Economic Research and Electronic Networking Vol. 16, No. 3 pp. 169-191. (2015 Dec.)

18. Geun-Cheol Lee and Jung-Hee Han 2015. Forecasting daily demand of domestic city gas with selective sampling. Journal of the Korea Academia-Industrial Cooperation Society Vol. 16, No. 10 pp. 6860-6868 (2015 Oct.) (Korean)

19. Geun-Cheol Lee, Jung Man Hong, and Seong-Hoon Choi 2015. Efficient Heuristic Algorithm for Scheduling Two-Stage Hybrid Flowshop with Sequence-Dependent Setup Times. Mathematical Problems in Engineering Vol. 2015, Article ID 420308 (2015 Aug.)

20. Jung Man Hong, Seong-Hoon Choi, Jung-Ug Kim and Geun-Cheol Lee 2014. Genetic Algorithms for Capacity Planning of High-tech Manufacturing Systems. Entrue Journal of Information Technology Vol. 13, No. 2, pp. 37-48 (2014 Aug.) (Korean)

21. Geun-Cheol Lee, 2014. Real-time order flowtime estimation methods for two-stage hybrid flowshops. Omega, The International Journal of Management Science Vol. 42, pp. 1-8. (2014 Jan.)

22. Geun-Cheol Lee, SungKuk Choi, DeokHwa Hong, and Seong-Hoon Choi, 2013. Heuristic Algorithms for the Path Planning Problem in Three-Dimensional Automated Optical Inspection (AOI) Machines. International Journal of Control and Automation Vol. 6, No. 4, pp. 321-328 (2013 Aug.)

23. Geun-Cheol Lee, Jung-Ug Kim and Jung Man Hong 2012. Component procurement planning with demand uncertainty under assemble-to-order environments. Korean Management Science Review Vol. 29, No. 3, pp. 121-134 (2012 Nov.) (Korean)

24. Sang-Oh Shim and Geun-Cheol Lee, 2012. Order promising methods considering scheduling and order releasing in parallel machine shops. Korean Management Science Review Vol. 29, No. 3 pp. 157-168 (2012 Nov.) (Korean)

25. Mi-Young Sohn and Geun-Cheol Lee, 2012. The Antecedents of customer satisfaction in online electronics shopping mall The Konkuk Journal of Business and Economic Studies Vol. 37, pp. 111-136 (2012 Mar.) (Korean)

26. Geun-Cheol Lee and Seong-Hoon Choi, 2011. A simulation study on capacity planning in hybrid flowshops for maximizing throughput under a budget constraint Journal of the Korea Society for Simulation Vol. 20, pp. 1-10 (2011 Sep.) (Korean)

27. Geun-Cheol Lee and Jung-Ug Kim, 2010. Component procurement planning in PC industry under CTO (Configure-To-Order) environments. Journal of Korean Production and Operations Management Society Vol. 21, pp. 123-135 (2010 Jun.) (Korean)

28. Geun-Cheol Lee, 2009. Estimating order lead times in hybrid flowshops with different scheduling rules. Computers and Industrial engineering Vol. 56, pp. 1668-1674 (2009 May.)

29. KiHong Jung, Chris Dardick, Laura E. Bartley, Peijian Cao, Jirapa Phetsom, Patrick Canlas, Young-Su Seo, Michael Shultz, Shu Ouyang, Qiaoping Yuan, Bryan C. Frank, Eugene Ly, Li Zheng, Yi Jia, An-Ping Hsia, Kyungsook An, HH Chou, David Rocke, Geun-Cheol Lee, Patrick S. Schnable, Gynheung An, C. Robin Buell, and Pamela C. Ronald, 2008. Refinement of Light-Responsive Transcript Lists Using Rice Oligonucleotide Arrays: Evaluation of Gene-Redundancy.PloS ONE 3(10): e3337. (2008 Oct.)

30. Ki-Hong Jung, Jinwon Lee, Chris Dardick, Young-Su Seo, Peijian Cao, Patrick Canlas, Jirapa Phetsom, Xia Xu, Shu Ouyang, Kyungsook An, Yun-Ja Cho, Geun-Cheol Lee, Yoosook Lee, Gynheung An, Pamela C. Ronald, 2008. Identification and functional analysis of light-responsive unique genes and gene family members in rice. PloS Genetics 4(8): e1000164 (2008 Aug.)

31. Ruixiao Lu, Geun-Cheol Lee, Michael Shultz, Chris Dardick, Kihong Jung, Jirapa Phetsom, Yi Jia, Robert H Rice, Zelanna Goldberg, Patrick S Schnable, Pamela Ronald, and David M Rocke, 2008. Assessing probe-specific dye and slide biases in two-color microarray Data. BMC Bioinformatics 9:314 (2008 Jul.) [code]

32. Geun-Cheol Lee, Jeff de Ropp, Mark R. Viant, David L. Woodruff, and Ping Yu, 2007. Heuristic Search for 2D NMR Alignment to Support Metabolite Identification. ESCAPE 2007, Lecture Notes on Computer Science Vol. 4614, pp. 447-458. (2007 Oct.)

33. Geun-Cheol Lee, 2007. Heuristics for line balancing in hybrid flowshop. Journal of the Society of Korea Industrial and Systems Engineering Vol. 30, pp. 94-102. (2007 Sep.) (Korean)

34. Geun-Cheol Lee, 2006. Scheduling methods for a hybrid flowshop with dynamic order arrival. Journal of the Korean Institute of Industrial Engineers Vol. 32, pp. 373-381. (2006 Dec.) (Korean)

35. Seong-Hoon Choi, Moon-Won Park, Dong-Ho Lee, Keun-Chae Jeong, Seung-Kil Lim, Jae-Gon Kim, and Geun-Cheol Lee 2006. A Conceptual Framework of an Advanced Planning and Scheduling System for Printed Circuit Board Manufacturing Lines. Asia Pacific Management Review Vol 11. No. 3 pp. 133-140. (2006 Jun.)

36. Seong-Woo Choi, Yeong-Dae Kim, and Geun-Cheol Lee, 2005. Minimizing total tardiness of orders with reentrant lots in a hybrid flowshop. International Journal of Production Research. Vol. 43, No. 11, pp. 2049-2067. (2005 Jun.)

37. Geun-Cheol Lee and Yeong-Dae Kim, 2004. A branch and bound algorithm for a two-stage hybrid flowshop scheduling problem minimizing total tardiness. International Journal of Production Research. Vol. 42, No. 22, pp. 4731-4743. (2004 Nov.)

38. Geun-Cheol Lee and David L. Woodruff, 2004. Beam search for peak alignment of NMR signals. Analytica Chimica Acta. Vol. 513, pp. 413-416. (2004 Jun.)[code]

39. Geun-Cheol Lee, Yeong-Dae Kim, and Seong-Woo Choi, 2004. Bottleneck-focused scheduling for a hybrid flowshop. International Journal of Production Research. Vol. 42, No. 1, pp. 165-181. (2004 Jan.)

40. Geun-Cheol Lee, Yeong-Dae Kim, Jae-Gon Kim, and Seong-Hoon Choi, 2003. A dispatching rule-based approach to production scheduling in a printed circuit board manufacturing system. Journal of the Operational Research Society. Vol. 54, No. 10, pp. 1038-1049. (2003 Oct. )

41. Yeong-Dae Kim, Geun-Cheol Lee, Seung-Kil Lim, and Seong-Kook Choi, 2003. Tool requirements planning in a flexible manufacturing system: minimizing tool costs subject to a makespan constraint. International Journal of Production Research. Vol. 41, No. 14, pp. 3339-3357. (2003 Oct.)

42. Yeong-Dae Kim, Geun-Cheol Lee, Seong-Kook Choi, and Seung-Kil Lim, 2001. Tool requirements planning in a flexible manufacturing system with an automatic tool transporter. IEEE Transactions on Robotics and Automation. Vol. 17, No. 6, pp. 795-804.

43. Seong-Hoon Choi, Jung-Ug Kim, Seung-Kil Lim, Geun-Cheol Lee, Seong-Kook Choi, and Yong-il Jun, 2000, ATCSS, a simulator for a new ATM traffic control. Engineering Valuation and Cost Analysis. Vol. 3, pp. 217-232.

44. Geun-Cheol Lee and Yeong-Dae Kim, 2000, Algorithms for adjusting shapes of departments in block layouts on the grid-based plane. Omega, The International Journal of Management Science. Vol. 28, No. 1, pp. 111-122.

45. Jae-Gon Kim, Geun-Cheol Lee, and Yeong-Dae Kim, 1997, A Study on facility layout planning using graph theory. Journal of the Korean Institute of Industrial Engineers. Vol. 23, No. 2, pp. 359-370. (Korean)

46. Dong-Ho Lee, Seung-Kil Lim, Geun-Cheol Lee, Hong-Bae Jun, and Yeong-Dae Kim, 1997, Multi-Period part selection and loading problems in flexible manufacturing system. Computer and Industrial Engineering. Vol. 33, pp. 541-544. (1997, Dec.)

PATENT

1. System of Proactive Scheduling approach using Simulation, 100971908 (2010 Jul.).

COURSES TAUGHT

• Business Mathematics (Under) 2006, 2008-Spring.

• Business Statistics (Under) 2019~2023-Fall.

• Management Science (Under) 2006~2010. 2012~2016, 2019~2023-Fall.

• Operations Research (Under) 2007~2010, 2012~2017, 2019~2024-Spring.

• Operations Management (Under) 2007~2010-Fall, 2012~2013-Spring, 2014-Fall, 2015-Spring.

• Business Research Method (Grad) 2009-Spring.

• Operations Management (Grad) 2015&2017-Spring.

• Optimization Theory (Grad) 2017&2022-Fall.

• Project Management (Grad) 2010-Spring.

• Multivariate Data Analysis (Grad) 2010-Fall.

• Service Operations Management (Grad) 2015-Fall.

• Management Science (Grad) 2016, 2019, 2021, 2023-Spring.

• Supply Chain Management (Grad) 2016-Fall.

• Seminar in Management Science (Grad) 2020, 2022-Spring.

• Seminar in Operations Management (Grad) 2021-Fall.

• Times Series Forecasting (Grad) 2024-Spring.

• Operations Management (MBA) 2012-Summer, 2013~2014-Fall, 2016-Spring&Fall, 2023-Fall.

• Management Science (MBA) 2020~2022-Spring.

CONFERENCE PAPERS & INVITED TALKS

1. Valuation of NFTs (Non-Fungible Tokens) Using Explanatory Variables Extracted from Word Embedding, 2023, KORMS Fall Conference, KAIST, Seoul, Korea.

2. Seasonally adaptive methods for the short-term load forecasting in South Korea, 2021, IFORS 2021, Seoul, Korea.

3. Effect of Energy Storage System on Energy Demand Forecasting, 2016, The 2016 Joint Seminar of KU-KU, Kyoto University, Kyoto, Japan.

4. Simulated Annealing for Capacity Planning of Reentrant Production Systems, 2016, The 17th Asia Pacific Industrial Engineering and Management Systems Conference, Taipei, Taiwan

5. A Study on Scheduling Hybrid Flowshop with Sequence-dependent Setup Times, 2016, The 5th IISE Asian Conference, Hong Kong.

6. A Study on Weather Effects on Energy Demand Forecasting, 2015, The 16th Asia Pacific Industrial Engineering and Management Systems Conference, Ho Chi Minh City, Vietnam.

7. A Study on Capacity Planning for Reentrant Hybrid Flowshop, 2015, The 16th Asia Pacific Industrial Engineering and Management Systems Conference, Ho Chi Minh City, Vietnam.

8. Efficient Path Planning Methods for 3-Dimensional Automated Optical Inspection (AOI) Machines, 2013, Advanced Green and Smart Technology (AGST 2013), Qingdao, China.

9. Real-time order promising methods considering scheduling of production lines under make-to-order environments, 2010, The 40th International Conference on Computers and Industrial Engineering (CIE40), Awaji, Hyogo, Japan.

10. A Tabu Search for 2D NMR Alignment, 2005, 9th INFORMS, Computing Society Conference, Annapollis, MA, USA.

11. Hybrid Heuristic Search for 2D NMR Alignment to Support Compound Identification, 2004, Fourth EU/ME Workshop: Design and Evaluation of Advanced Hybrid Metaheuristics, Nottingham, UK.

12. A Conceptual Framework of an Advanced Planning and Scheduling System for Printed Circuit Board Manufacturing Lines, Proceedings of the 10th Asia Pacific Management Conference, Daejeon, Korea.

13. An Order Promising Procedure for Simulation-Based APS (Advanced Planning and Scheduling) Systems, 2002, KORMS-KIIE Joint Conference, Daejeon, Korea. (Domestic)

14. A Dispatching Rule-based Scheduling Approach for a Printed Circuit Board Production Line, 2001, INFORMS Hawaii Conference, Hawaii, USA.

15. Production Planning and Scheduling in a Leadframe Manufacturing System, 2000, INFORMS-KORMS Seoul Conference, Seoul, Korea.

16. Minimizing Tool Costs subject to a Makespan Constraint in a Flexible Manufacturing System, 1999, The 2nd Asia-Pacific Conference on IE/MS, Kanazawa, Japan.

17. ATCSS, a Simulator for a New ATM Traffic Control System, 1998, 1st Korea-Japan Joint Conference, Daejeon, Korea.

18. Shaping Algorithms for Facility Layout Problems, 1997, KORMS-KIIE Joint Conference, Pohang, Korea. (Domestic)

19. Multi-Period Part Selection and Loading Problems in Flexible Manufacturing System, 1996, 20th International Conference on Computer and Industrial Engineering, Kyungju, Korea.

20. A Study on Facility Layout Planning Using Graph Theory, 1996, 20th International Conference on Computer and Industrial Engineering, Kyungju, Korea.

PROJECTS

1. An NFT Value Evaluation Model for the Sustainable ESG Ecosystem, Co-PI, 2023-2025, NRF.

2. Forecasting daily and hourly natural gas demands for SCADA, Principle Investigator, 2013-2015, RLK, HHI.

3. Real-time order promising methods considering scheduling of production lines under make-to-order environments, Principle Investigator, 2009-2010, National Research Foundation.

4. Two-phased component planning in PC industry under CTO (Configure-To-Order) environments, Principle Investigator, 2008-2009, Korea Research Foundation.

5. Fab-Wide Scheduler for Semiconductor and LCD production line, Principle Investigator, 2007, Small and Medium Business Administration & AIM Systems.

6. Rice Oligonucleotide Array Project, Researcher, 2004-2006, NSF.

7. Postdoctoral Fellowship Project, Awardee,2003-2005, Korea Research Foundation.

8. Development of Intelligent Production Planning and Scheduling (IPS) System for LG Electronics DMC CU, 1999-2001, LG Electronics DMC CU.

9. Production planning and scheduling in a leadframe manufacturing plant, 1999-2000, Chiptron Inc.

10. Production planning and operational control of an application specific integrated circuit (ASIC) fabrication process, 1998-2000, Korea Science and Engineering Foundation.

11. ATCSS, a Simulator for a New ATM Traffic Control System, 1997-1998, Electronics and Telecommunications Research Institute.

12. Development of Production Planning Module for IAE-FMS, 1995-1996, Institute of Advanced Engineering Ltd.