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      Dr Thai Young Kim

      BEng,MSc,MA,PhD
      ROLE: Lecturer in Innovation Analytics/Operations Management
      SCHOOL: Business School
      DEPARTMENT: Management Leadership & Organisations
      TELEPHONE: +44 (0)20 8411 4833
      EMAIL: T.Kim@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        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).


        Languages Spoken

        English, Korean

      • Learning &
        Teaching Interests

        • Research Interests

        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.

        • Teaching Interests

        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.

      • Research Outputs &
        Interests

        • Cross-border electronic commerce: Distance effects and express delivery in European Union markets. International Journal of Electronic Commerce, 2017, vol. 21(2), pp. 184-218. Thai Young Kim, Rommert Dekker, and Christiaan Heij, DOI: http://dx.doi.org/10.1080/10864415.2016.1234283, SSCI Impact factor 2.514 (2017), Cited by 17 times, ABS 3 star.

        • Spare part demand forecasting for consumer goods using installed base information. Computers & Industrial Engineering, 2017, vol. 103, pp. 201-215., Thai Young Kim, Rommert Dekker, and Christiaan Heij, DOI: http://dx.doi.org/10.1016/j.cie.2016.11.014, SCIE Impact factor 3.195 (2017), Cited by 17 times, ABS 2 star.

        • Improving warehouse labour efficiency by intentional forecast bias. International Journal of Physical Distribution & Logistics Management, 2018, vol. 48(1), pp.93-110. Thai Young Kim, Rommert Dekker, and Christiaan Heij, DOI: https://doi.org/10.1108/IJPDLM-10-2017-0313, SSCI Impact factor 4.215 (2017), ABS 2 star.

        • Improving warehouse responsiveness by job priority management: A European distribution centre field study. Computers & Industrial Engineering, 2018 Accepted (Special Issue: Data-driven decision making in supply chains). Thai Young Kim, DOI: https://doi.org/10.1016/j.cie.2018.12.011, SCIE Impact factor 3.195 (2017), ABS 2 star.

      • Funded Research &
        Knowledge Exchange Projects

        • Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets.POMS 27th Annual Conference, 6th May, 2016*, Orlando, FL, USA (abstract code: 065-1716)
        • Big Data : Science to practice.
          Q-intelligence symposium, Erasmus University Rotterdam, 29th August 2017, Rotterdam, Netherlands
          Media:  http://www.toii.nl/big-data-in-customer-service-2-wat-kan-customer-service-met-big-data/

        • Spare part demand forecasting from installed based for consumer goods. Service logistics forum & dutch institute for advanced logistics,9th October 2014, Breda, Netherlands

        • Cross-Border Electronic Commerce in European Union Markets. ERIM Research Seminar (LIS), Erasmus University Rotterdam School of Management, 5 th January 2016, Rotterdam, Netherlands

        • Improving warehouse responsiveness by job priority management. EURO 30th European Conference on Operational Research, 23rd June 2019, Dublin, Ireland

      • Engagement &
        Impact

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