Journal Special Issues (Guest Editor)
Simulation Modelling and Analysis of a Renewable Energy System, Volume I (published)
Simulation Modelling and Analysis of a Renewable Energy System, Volume II (published)
Simulation Modelling and Analysis of a Renewable Energy System, Volume III (on-going SI)
Journal Papers
53. Kim, Y., Seo, J., & Kim, S. (2025). Location Allocation of Corn Stover Pretreatment Facilities in South Korea Under an Agent-Based Simulation Framework. Applied Sciences, 19(17), 9488. Available at https://doi.org/10.3390/app15179488.
52. Lim, H., Kim, Y., Kim, S., & Kim, S. (2025). Convolutional Neural Network (CNN)-Based Transfer Learning Framework for Cherry Tomato Production. International Journal of Agricultural and Biological Engineering, 18(6), (accepted).
51. Lee, H. & Kim, S. (2025). Optimum Equipment Allocation Under Discrete Event Simulation for an Efficient Quarry Mining Process. Processes, 12-3(7), 2215. Available at https://doi.org/10.3390/pr13072215.
50. Kim, D., Back, C., Kim, S., & Kim, S. (2025). Impacts of Climate Change on Chinese Cabbage (Brassica rapa) Yields and Damages from Insects. Agronomy-Basel, 15(6), 1264. Available at https://doi.org/10.3390/agronomy15061264.
49. Park, B., Kim, S., & Kim, S. (2025). Simulation of the impacts of high temperature stress on pepper (Capsicum annum L.) yields. Frontiers in Plant Science, 16, 1590193. Available at https://doi.org/10.3389/fpls.2025.1590193.
48. So, J., Lee, I., & Kim, S. (2025). Federated Learning-based Framework to Improve the OperationalEfficiency of an Articulated Robot Manufacturing Environment. Applied Sciences, 15(8), 4108. Available at https://doi.org/10.3390/app15084108.
47. Kim, Y., & Kim, S. (2025). Economic Analysis of Biofuel Production in Agrophotovoltaic Systems using Building Integrated Photovoltaics in South Korea. Energies, 18(8), 1949. Available at https://doi.org/10.3390/en18081949.
46. Lee, I., Kim, Y., & Kim, S. (2025). A Data-Driven Machine Vision Framework for Quality Management in Photovoltaic Module Manufacturing. Machines, 13(4), 285. Available at https://doi.org/10.3390/machines13040285.
45. Kim, Y., & Kim, S. (2025). Optimization and Simulation in Biofuel Supply Chain. Energies, 18(5), 1194. Available at https://doi.org/10.3390/en18051194.
44. Kim, S. & Kim, S. (2025). Spectrum Auction Policy Design for International Mobile Telecommunications in South Korea: Application of Agent-Based Simulation. Applied Sciences, 15(4), 1769. Available at https://doi.org/10.3390/app15041769.
43. Lim, H. & Kim, S. (2024). Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production. Energies, 17(20), 5191. Available at https://doi.org/10.3390/en17205191.
42. Kim, Y., Kim, S., & Kim, S. (2024). Onion (Allium cepa) Profit Maximization via Ensemble Learning-Based Framework for Efficient Nitrogen Fertilizer Use. Agronomy-Basel, 14(9), 2130. Available at https://doi.org/10.3390/agronomy14092130.
41. So, J., Youm, S., & Kim, S. (2024). A Human Body Simulation Using Semantic Segmentation and Image-Based Reconstruction Techniques for Personalized Healthcare. Applied Sciences, 14(16), 7107. Available at https://doi.org/10.3390/app14167107.
40. On, Y., Kim, S., & Kim, S. (2024). Multi-Objective optimization for design of an Agrophotovoltaic system under Non-Dominated sorting Genetic algorithm II. Computers and Electronics in Agriculture, 224, 109237. Available at https://doi.org/10.1016/j.compag.2024.109237.
39. Kim, M., Kim, S., & Kim, S. (2024). A Hybrid Simulation Framework for Predicting Virus Impacts on Chinese Cabbage yields. Agronomy Journal, 116(2), 674-688. Available at https://doi.org/10.1002/agj2.21486.
38. Kim, S., Seo, J., & Kim, S. (2024). Machine learning technologies in the supply chain management research of biodiesel: a review. Energies, 17(6), 1316. Available at https://doi.org/10.3390/en17061316.
37. Kim, S., & Kim, S. (2023). Agricultural research and development center design with building integrated photovoltaics in Fiji. Energies, 17(1), 207, Available at https://doi.org/10.3390/en17010207.
36. Kim, S., Choi, Y., & Kim, S. (2023). Simulation modeling in supply chain management research of ethanol: a review. Energies, 16(21), 7429, Available at https://doi.org/10.3390/en16217429.
35. Kim, S., An, K., & Kim, S. (2023). An integrated multi-modeling framework to estimate potential rice and energy production under an agrivoltaic system. Computers and Electronics in Agriculture, 213, 108157, Available at https://doi.org/10.1016/j.compag.2023.108157.
34. Ji, B., Kang, J., Kim, C., Kim, S., Song, Y., & Yeon, J. (2023). The Effect of Personal Characteristics on Spatial Perception in BIM-Based Virtual Environments: Age, Gender, Education, and Gaming Experience. Buildings, 13(8), 2103, Available at https://doi.org/10.3390/buildings13082103.
33. Kim, S., & Kim, S. (2023). Design of an Agrivoltaic System with Building Integrated Photovoltaics. Agronomy-Basel, 13(8), 2140, Available at https://doi.org/10.3390/agronomy13082140.
32. Kim, Y., Kim, S., & Kim, S. (2023). An Integrated Agent-Based Simulation Modeling Framework for Sustainable Production of an Agrophotovoltaic System. Journal of Cleaner Production, 420, 138307. Available at https://doi.org/10.1016/j.jclepro.2023.138307.
31. Kim, S., & Kim, S. (2023). Economic Feasibility Comparison between Building-Integrated Photovoltaics and Green Systems in Northeast Texas. Energies, 16(12), 4672. Available at https://doi.org/10.3390/en16124672.
30. Kim, Y., On, Y., So, J., Kim, S., & Kim, S. (2023). A Decision Support Software Application for the Design of Agrophotovoltaic Systems in Republic of Korea. Sustainability, 15(11), 8830. Available at https://doi.org/10.3390/su15118830.
29. Kim, S. & Kim, S. (2023). Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea. Renewable Energy, 206, 928-938. Available at https://doi.org/10.1016/j.renene.2023.02.090.
28. Kim, S., Rho, H.Y., & Kim, S. (2022). The Effects of Climate Change on Heading Type Chinese Cabbage (Brassica rapa L. ssp. Pekinensis) Economic Production in South Korea. Agronomy-Basel, 12(12), 3172. Available at https://doi.org/10.3390/agronomy12123172.
27. Kim, S., Kim, S., Green, C.H.M., & Jeong, J. (2022). Multivariate Polynomial Regression Modeling of Total Dissolved-Solids in Rangeland Stormwater Runoff in the Colorado River Basin. Environmental Modeling & Software. 157. Available at https://doi.org/10.1016/j.envsoft.2022.105523.
26. Kim, S., Kim, Y., On, Y., So, J., Yoon, C. Y., & Kim, S. (2022). Hybrid Performance Modeling of an Agrophotovoltaic System in South Korea. Energies, 15(18), 6512. Available at https://doi.org/10.3390/en15186512.
25. Kim, S., & Kim, S. (2022). Hybrid Simulation Framework for the Production Management of an Ethanol Biorefinery. Renewable and Sustainable Energy Reviews. 155. Available at https://doi.org/10.1016/j.rser.2021.111911.
24. Kim, S., & Kim, S. (2021). Performance Estimation Modeling via Machine Learning of an Agrophotovoltaic System in South Korea. Energies, 14(20), 6724. Available at https://doi.org/10.3390/en14206724.
23. Kim, S., Aydin, B., & Kim, S. (2021). Simulation Modeling of a Photovoltaic-Green Roof System for Energy Cost Reduction of a Building: Texas Case Study. Energies, 14(17), 5443. Available at https://doi.org/10.3390/en14175443.
22. Yoon, C., Kim, S., Cho, J., & Kim, S. (2021). Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars. Agronomy-Basel, 11(8), 1590. Available at https://doi.org/10.3390/agronomy11081590.
21. Kim, S., Kim, S., & Yoon, C. (2021). An Efficient Structure of an Agrophotovoltaic System in a Temperate Climate Region. Agronomy-Basel, 11(8), 1584. Available at https://doi.org/10.3390/agronomy11081584.
20. Kim, S., Kim, S., Kiniry, J. R., & Ku, K. M. (2021). A hybrid decision tool for optimizing broccoli production in a changing climate. Horticulture, Environment, and Biotechnology, 62, 299-312. Available at https://doi.org/10.1007/s13580-020-00317-8.
19. Kim, S., & Hong, S. J. (2021). EPCglobal Network Design Using Agent-Based Simulation. Journal of Simulation, 15(4), 309-325. Available at https://doi.org/10.1080/17477778.2020.1740625.
18. Yoon, C. Y., Kim, S., An, K. N., & Kim, S. (2021). Simulated impacts of rainfall extremes on yield responses of various barley varieties in a temperate region. International Agrophysics, 35(2), 119-129. Available at https://doi.org/10.31545/intagr/134142.
17. An, K., Kim, S., Shin, S., Min, H., & Kim, S. (2021). Optimized Supply Chain Management of Rice in South Korea: Location-Allocation Model of Rice Production. Agronomy-Basel, 11(2), 270. Available at https://doi.org/10.3390/agronomy11020270.
16. Park, H., Kim, S., Jeong, Y., & Minshall, T. (2021). Customer entrepreneurship on digital platforms: Challenges and solutions for platform business models. Creativity and Innovation Management, 30(1), 96-115. Available at https://onlinelibrary.wiley.com/doi/10.1111/caim.12404.
15. Kim, S., Ofekeze, E., Kiniry, J. R., & Kim, S. (2020). Simulation-Based Capacity Planning of a Biofuel Refinery. Agronomy-Basel. 10(11), 1702. Available at https://www.mdpi.com/2073-4395/10/11/1702.
14. Kim, S., Jeong, J., Kahara, S. N., Kim, S. & Kiniry, J. R. (2020). APEX simulation: Water quality of Sacramento Valley wetlands impacted by waterfowl droppings. Journal of Soil and Water Conservation. Available at https://www.jswconline.org/content/jswc/early/2020/10/05/jswc.2020.00117.full.pdf.
13. Kim, S., Meki, M. N., Kim, S., & Kiniry, J. R. (2020). Crop Modeling Application to Improve Irrigation Efficiency in Year-Round Vegetable Production in the Texas Winter Garden Region. Agronomy-Basel. Available at https://www.mdpi.com/2073-4395/10/10/1525.
12. Masoud, S., Kim, S., Son, Y. J. (2020). Mitigating the risk of hazardous materials transportation: A hierarchical approach. Computers & Industrial Engineering. Vol. 148. Available at https://www.sciencedirect.com/science/article/abs/pii/S0360835220304587
11. Kim, S., Kim, S., Cho, J., Park, S., Perez, F., & Kiniry, J. R. (2020). Simulated Biomass, Climate Change Impacts, and Nitrogen Management to Achieve Switchgrass Biofuel Production at Diverse Sites in U.S. Agronomy-Basel. Available at https://www.mdpi.com/2073-4395/10/4/503.
10. Kim, S., Kim, S., & Kiniry, J. R. (2018). Two-Phase Simulation-Based Location-Allocation Optimization of Biomass Storage Distribution. Simulation Modelling Practice and Theory. Vol. 86, pp. 155–168. Available at https://www.sciencedirect.com/science/article/pii/S1569190X18300698.
9. Kim, S., Son, Y. J., Tian, Y., Chiu, Y. C., & Yang, C. D. (2017). Cognition-Based Hierarchical En Route Planning for Multi-Agent Traffic Simulation. Expert Systems with Applications. Vol. 85 (1), pp. 335–347. Available at http://www.sciencedirect.com/science/article/pii/S0957417417303676.
8. Kim, S., Meng, C., & Son, Y. J. (2017). Simulation-Based Machine Shop Operations Scheduling System for Energy Cost Reduction. Simulation Modelling Practice and Theory. Vol. 77, pp. 68–83. Available at http://www.sciencedirect.com/science/article/pii/S1569190X17300898.
7. Kim, S. & Son, Y. J. (2017). Lane Selection Behavior Modeling in an Agent-Based Traffic Simulation. Industrial Engineering & Management Systems. Vol. 16(2). pp. 240–252. Available at http://www.iemsjl.org/journal/list.php?vol=16&no=2.
6. Kim, S., Son, Y. J., Chiu, Y. C., Jeffers, M. A. B., & Yang, C. D. (2016). Impact of road environment on drivers’ behaviors in dilemma zone: Application of agent-based simulation. Accident Analysis & Prevention. Vol. 96, pp. 329-340. Available at http://www.sciencedirect.com/science/article/pii/S0001457515300531.
5. Kim, S. and Yoon, B. (2014) A Systematic Approach for New Service Concept Generation: Application of Agent-Based Simulation, Expert Systems with Applications. Vol. 41, No. 6, pp. 2793-2806. Available at http://www.sciencedirect.com/science/article/pii/S0957417413008269.
4. Kim, S. and Yoon, B. (2012) Developing a Process of Concept Generation for New Product-Service Systems: a QFD and TRIZ-Based Approach, Service Business. pp. 1862-8516. Available at http://link.springer.com/article/10.1007%2Fs11628-012-0138-x.
3. Yoon, B., Kim, S. and Rhee, J. (2012) An Evaluation Method for Designing a New Product-Service System, Expert Systems with Applications. Vol. 39, No. 3, pp. 3100-3108. Available at http://www.sciencedirect.com/science/article/pii/S0957417411013042.
2. Kim, S., Kim, A. and Yoon, B. (2011) Development of a Framework and System for R&D Process Assessment: A Case Study of IT Industry, Entrue Jornal of Information Technology. Vol. 10, No. 2, pp. 59-70.
1. Kim, S., Kang, Y., Son, K., Lee, Y., Rhee, J. and Hong, S. (2010) Performance Modeling of an EPC Information Service System, Industrial Engineering & Management Systems. Vol. 9, No. 3, pp. 285-293. Available at http://www.iemsjl.org/journal/list.php?vol=9&no=3.
Journal Papers (Korea Citation Index)
3. Seo. J., Kim, Y., Kim, S., & Kim, S. (2025). Development of a Decision-Making System for Optimal Nitrogen Fertilizer Use for Sustainable Crop Production (지속가능한 작물 생산을 위한 최적 질소 비료 사용 의사결정시스템 개발). 한국산업경영시스템학회지 (Society of Korea Industrial and Systems Engineering), 48(2), 122-131. Available at https://doi.org/10.11627/jksie.2025.48.2.122.
2. Kim, Y., Seo, J., Youn, Y., Yu, M., Kim S., & Kim, S. (2024). Development of Framework for Onion Yield Prediction using Ensemble Learning Technique (앙상블 학습을 활용한 양파 생산량 예측 프레임워크 개발). 한국산업경영시스템학회지 (Society of Korea Industrial and Systems Engineering), 47(4), 215-222. Available at https://doi.org/10.11627/jksie.2024.47.4.215.
1. Kim, Y., So, J., On, Y., Lee, J., & Kim, S. (2022). A Decision Support System for Smart Farming in Agrophotovoltaic Systems (영농형 태양광 시스템에서의 스마트 농업을 위한 의사결정지원시스템), 한국산업경영시스템학회지 (Society of Korea Industrial and Systems Engineering), 45(4), 180-186. Available at https://doi.org/10.11627/jksie.2022.45.4.180.
Selected Conference Papers
· Kissling, T., & Kim, S. (2019) Location-Allocation of Autonomous Vehicle Stations in Frisco, TX, In IISE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE).
· Aydin, B., Kim, S., & Harp, D. (2018) Designing an Automated Sustainable Green Roof System, In IISE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE)
· Sahinkaya, T., & Kim, S. (2018) International Space Station Resupply Cost Minimization, In IISE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE).
· Kim, S. and Delacruz, C. (2017) Discussion on Traffic Estimation for a Driver's Route Choice Behavior Study, International Conference on Industrial Engineering and Technology Management (IC-IETM).
· Masoud, S., Kim, S., and Son, Y. (2015) Integrated Dual Toll Pricing with Network Design for Hazardous Materials Transportation, Industrial and System Engineering Research Conference (ISERC).
· Meng, C., Kim, S., Kim, S., and Son, Y. (2015) A Value Stream Mapping Interface for Manufacturing Simulation, Industrial and System Engineering Research Conference (ISERC).
· Na, H., Kim, S., Langellier, B., and Son, Y. (2015) Famers Markets Location-Allocation Framework for Public Health Enhancement, Industrial and System Engineering Research Conference (ISERC).
· Kim, S., Son, Y., Tian, Y., and Chiu, Y. (2014) Drivers’ En-Route Divergence Behavior Modeling Using Extended Belief-Desire-Intention (E-BDI) Framework, Winter Simulation Conference (WSC).
· Kim, S., Xi, H., Tian, Y., Son, Y., Chiu, Y., and Yang, C.Y.D. (2014) Hierarchical En-Route Planning under Extended Belief-Desire-Intention(E-BDI) Framework, Industrial and System Engineering Research Conference (ISERC).
· Meng, C., Kim, S., Son, Y., and Kubota, C. (2013) A SysML-based Simulation Model Aggregation Framework for Seedling Propagation System, Winter Simulation Conference (WSC).
· Kim, S., Mungle, S., and Son, Y. (2013) An Agent-based Simulation Approach for Dual Toll Pricing of Hazardous Material Transportation, Winter Simulation Conference (WSC).
· Son, Y., Kim, S., Xi, H., and Mungle, S. (2013) An Extended BDI Model for Human Behaviors: Decision-Making, Learning, Interactions, and Applications, Winter Simulation Conference (WSC).
· Xi, H., Kim, S., Feng, Y., Son, Y., Head, L., Zheng, H., Chiu, Y., Yang, D. (2013) Drivers’ Behavior Modeling and Analysis in Dilemma Zone, Conference on Agent-Based Modeling in Transportation Planning and Operations
· Kim, S., Xi, H., Mungle, S., and Son, Y. (2012) Modeling Human Interactions with Learning under the Extended Belief-Desire-Intention Framework, Industrial and System Engineering Research Conference (ISERC).
· Feng, Y., Xi, H., Kim, S., Son, Y., and Head, L. (2012) A Hierarchical Agent-based Simulation for Transportation Planning, Council of Engineering Systems Universities (CESUN).
· Yoon, B., Kim, S., and Kim, A. (2010) Concept Generation Method for Product-Service Systems: A TRIZ based methods, Proceedings of Korean Society for Innovation Management and Economics (KOSIME).
· Kang, Y., Kim, S., Son, K., and Lee, Y. (2010) A Model-based Performance Study of the EPCglobal Network, IERC.
· Kim, S., Kang, Y., Son, K., Lee, Y., Rhee, J. and Hong, S. (2009) Performance Modeling of an EPC Information Service System, Proceedings of 10th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS).
· Yoon, B., Ha, H., Son, K., and Kim, S. (2009) Application Portfolio of Methodologies of Scientometrcis in Science & Technology policy, Proceedings of Korean Society for Innovation Management and Economics (KOSIME).
Selected Conference Presentation
· Kim, S., Kim, Y., On, Y., So, J., Lee, D., Lee, G., & Kim, S. (2022, June 23-25). Simulation Based Design of an Agrophotovoltaic System for Smart Farming. KISE Spring Conference 2022: Jeju Island, Republic of Korea.
· Kim, S., Kim, S., & Kiniry, J. R. (2019). Measurement and Estimation of Evapotranspiration (ET) across Different Vegetation Types in Wetland, American Society of Agronomy (ASA) Annual Meeting.
· Kim, S., Kim, S., Cho, J., Park, S., & Kiniry, J. R. (2019). Modeling Impacts of Climate Change and Nitrogen Fertilization Effects on Switchgrass Biomass Production at Diverse Sites in the U.S., Switchgrass V International Conference: Dedicated Energy Crops and Native Grasses for the Emerging Bioeconomy, University of Illinois at Urbana-Champaign.
· Kim, S., & Thornton, K. (2018). Hospital Supply Chain Network Design using Agent-based Simulation, INFORMS Annual Meeting.
· Kim, S., Meng, C., & Son, Y. J. (2017). Real-Time Energy Cost Reduction System for Sustainable Manufacturing, the 6th International Forum on Sustainable Manufacturing.
· Kim, S., Kim, S.M., & Kiniry, J.R. (2017). A Hybrid Simulation-Based Location-Allocation Approach of Biofuel Warehouses, The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting.
· Kim, S., Son, Y., Chiu, Y., Jeffers, M.A.B., and Yang, D. (2015) Impact of the Roadway Environment on Drivers’ Behaviors in the Dilemma Zone: An Application of Agent-Based Simulation, Transportation Research Board (TRB) 94rd Annual Meeting.
· Kim, S., Kim, S., and Son, Y. (2014) Dynamic Structural Learning of a Bayesian Network for Drivers’ Behaviors, The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting.
· Kim, S., Xi, H., Tian, Y., Son, Y., Chiu, Y., and Yang, C.Y.D. (2014) Hierarchical En-Route Planning under Extended Belief-Desire-Intention Framework, Transportation Research Board (TRB) 93rd Annual Meeting.
· Kim, S., Xi, H., and Son, Y. (2013) Agent-based Simulation for Dual Toll Pricing of Hazardous Material Transportation, The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting.
· Kim, S., Xi, H., and Son, Y. (2012) Scalability of Modeling Driver’s Behavior under the Extended Belief-Desire-Intention Framwork, The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting.
· Feng, Y., Xi, H., Kim, S., Son, Y., and Head, L. (2012) A Hierarchical Agent-based Simulation for Traveler Behavior, The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting.
Thesis
· Kim, S. (2015) Dynamic Learning and Human Interactions under the Extend BDI Framework for Transportation Systems, Ph.D. Thesis, University of Arizona. Available at http://arizona.openrepository.com/arizona/handle/10150/578837.
· Kim, S. (2010) Development of EPC Information Service System Performance Model, M.D. Thesis, Dongguk University.
Project Reports
· Kim, S., Tian, Y., Chiu, Y., Son, Y., Lien, J. (2015) Agent En Route Planning, Day-to-Day Learning and Simulation Visualization Report, Available at http://www.abms-vasto.org/route-choicelearning
· Kim, S., Son, Y., Jeffers, M.A., Williams, J., Chiu, Y. (2015) Agent-Based Modeling and Simulation in the Dilemma Zone, FHWA-HRT-15-082, FHWA. Available at http://www.fhwa.dot.gov/advancedresearch/pubs/15082/15082.pdf.
· Zheng, H., Son, Y., Chiu, Y., Head, L., Feng, Y., Xi, H., Kim, S., Hickman, M. (2013) A Primer for Agent-Based Simulation and Modeling in Transportation Applications, FHWA-HRT-13-054, FHWA. Available at http://www.fhwa.dot.gov/advancedresearch/pubs/13054/13054.pdf.
· Dongguk University, (2010) Performance Analysis of Unified Product Lifecycle Ubiquitous System (UPLUS) Infrastructure Service, Ministry of Knowledge Economy in Korea.
· Dongguk University, (2009) Developing and designing a new car sharing service model for Korea, National IT Industry Promotion Agency in Korea.
· Dongguk University, (2009) Developing Korean Carsharing Service Model, Ministry of Knowledge Economy in Korea.
· Yoon, B., Lee, C., Lee, H., Son, K., and Kim, S. (2008) Analysis and Survey on Application of Informetrics, Korea Institute of Science and Technology Information (KISTI).