Thai Young Kim obtained his Bachelor’s degree in electrical engineering from Yonsei University in Seoul, South Korea and received his master’s degree in marketing communication at the same university. In the Netherlands, he received another master’s degree in maritime economics and logistics and PhD degree with the dissertation of Data-driven warehouse management in global supply chains from Erasmus University Rotterdam. Before joining the Academia, He was a senior manager of the logistic innovation department at Samsung Electronics for 12 years. He optimized logistic cost and efficiency of European central distribution centers conducting a consulting role for Samsung’s warehouses of 13 European countries. His recent research interests are warehouse labor efficiency management, spare parts demand forecasting through installed base models, cross border e-commerce implementation and job shop modelling of warehouse order fulfilment operations. His works have been published in SCI journals including International Journal of Electronic Commerce, Computer and Industrial Engineering, and International Journal of Physical Distribution and Logistics Management. During his PhD he presented his research at the Dutch expert group symposium including Bigdata from science to practice (hosted by Erasmus Q-intelligence), Service Logistics Forum (hosted by Dinalog).
Information System in Supply Chains, Electronic Commerce order fulfillment, Data driven warehouse management, Queuing theory with Flow shop algorithm, Activity-Based Cost Modelling, Spare parts demand forecasting by stochastic modelling. Labor management in Warehouse. Supply chain finance. Real-life SCM problem Data analytics. Supply Chain Modelling. Predictive Analytics.
Production Planning and Scheduling, Stochastic Models and Optimization, Mathematical Programming (Matlab), Discrete Event Simulation (AnyLogic), Agent Based Simulation (AnyLogic), Econometrics Data analytics (E-veiws), Project Management, Informatics, Management Information System.