DOI QR코드

DOI QR Code

Analysis of the Impact of COVID-19 on Port Operation

컨테이너 항만운영에 대한 코로나19의 영향 분석 연구

  • 김성기 (한국해양수산개발원 항만연구본부) ;
  • 김찬호 (한국해양수산개발원)
  • Received : 2021.05.24
  • Accepted : 2021.06.17
  • Published : 2021.06.30

Abstract

The major factors that threaten port operation are diversie. Coronavirus disease-19, (COVID-19), which has recently disrupted operations worldwide, is one of them. Port operation was completely stopped due to a confirmed coronavirus involving a Russian sailor in Gamcheon Port, Busan, Korea in 2020, resulting port closure due to the infectious disease outbreak. The port is a national infrastructure facility that controls most of Korea's import and export logistics, and it is absolutely necessary to secure resilience against threats such as infectious diseases. However, due to insufficient data, this study was undertaken to determine a cause-effect relationship of infectious diseases during the container port operation using system dynamics. In addition, the port's resilience against infectious diseases was measured in terms of productivity and cargo volume through simulation. The model built via simulation analysis can actually be used to measure the resilience of a port. In the event of an infectious disease outbreak at a port, a quarantine policy scenario can be implemented and the effect compared, thereby improving the resilience.

항만운영을 위협하는 요인들이 다양화되고 있다. 최근에 전 세계적으로 문제를 야기한 코로나19도 그 중 하나이다. 2020년 부산 감천항에서 발생한 러시아 선원의 코로나 확진으로 인해 하역작업이 전면 중단되었는데, 이는 감염병으로 인해 항만이 폐쇄된 대표적인 사례이다. 항만은 우리나라 수출입물류의 대부분을 담당하는 국가 기반 시설물로서 감염병 등 위협 요인에 대한 레질리언스(resilience) 확보가 반드시 필요하나, 관련 연구는 아직 부족한 실정이다. 본 연구에서는 시스템 다이내믹스를 활용하여 감염병이 컨테이너 항만운영에 미치는 영향에 대한 흐름도를 구축하였다. 또한 시뮬레이션을 통해 감염병에 대한 항만의 레질리언스를 생산성과 물동량 측면에서 측정하였다. 시뮬레이션 분석을 통해 구축한 모형이 실제로 항만의 레질리언스 측정에 활용할 수 있음을 보였으며, 항만 내 감염병이 발생했을 시 격리 정책 시나리오를 설정하여 효과를 비교함으로써 레질리언스 향상을 위한 정책 수립의 기반으로 활용할 수 있음을 확인했다는 점에 본 연구의 의의가 있다.

Keywords

Acknowledgement

본 논문은 한국해양수산개발원 기본과제 "항만의 회복탄력성 측정 모형 구축에 관한 연구"와 해양수산부 재원으로 지원을 받아 수행한 "항만시설보안료 현실화 방안 연구용역"의 일부분을 학술지 목적에 맞도록 수정 및 보완하여 작성하였다.

References

  1. Buor, J. K.(2015), "Applying System Dynamics Modelling To Building Resilient Logistics: A Case of the Humber Ports Complex", University of Hull, Business School, PhD Dissertation.
  2. Caballini, C., Sacone, S. and Siri, S.(2012), "The Port as a System of Systems: A System Dynamics Simulation Approach", Proceedings - 2012 7th International Conference on System of Systems Engineering, SoSE 2012, pp. 191-196.
  3. Chen, H., Cullinane, K. and Liu, N.(2017), "Developing a Model for Measuring the Resilience of a Port-Hinterland Container Transportation Network", Transportation Research Part E: Logistics and Transportation Review, Vol. 97, pp. 282-301. https://doi.org/10.1016/j.tre.2016.10.008
  4. Cho, H. and Park, H.(2017), "Constructing Resilience Model of Port Infrastructure Based on System Dynamics", International Journal of Safety and Security Engineering, Vol. 7, No. 3, pp. 352-360. https://doi.org/10.2495/safe-v7-n3-352-360
  5. Choi, H. R., Park, B. J. and Yoo, D. H.(2006), "System Dynamics Modeling for Improving the Competitiveness of a Container Terminal", Korean System Dynamics Review, Vol. 7, No. 2, pp. 121-132.
  6. Choi, K. W., Kwak, S. I. and Kim, S. W.(2006), "A Dynamic Analysis of Technological Innovation Using System Dynamics", Korean Management Science Review, Vol. 23, No. 1, pp. 87-113.
  7. Chowdhury, M. M. H. and Quaddus, M.(2017), "Supply Chain Resilience: Conceptualization and Scale Development Using Dynamic Capability Theory", International Journal of Production Economics, Vol. 188, pp. 185-204. https://doi.org/10.1016/j.ijpe.2017.03.020
  8. Hohenstein, N. O., Feise, E., Hartmann, E. and Giunipero, L.(2015), "Research on the Phenomenon of Supply Chain Resilience: A Systematic Review and Paths for Further Investigation", International Journal of Physical Distribution and Logistics Management, Vol. 45, pp. 90-117. https://doi.org/10.1108/IJPDLM-05-2013-0128
  9. Hu, M., Lin, H., Wang, J., Xu, C., Tatem, A., Meng, B., Zhang, X., Liu, Y., Wang, P., Wu, G., Xie, H. and Lai, S.(2021), "Risk of Coronavirus Disease 2019 Transmission in Train Passengers: an Epidemiological and Modeling Study", Clinical Infectious Diseases, Vol. 72, No. 4, pp. 604-610. https://doi.org/10.1093/cid/ciaa1057
  10. Jung, H. J. and Yeo, G. T.(2011), "An Analysis on the Container Terminal Operation by Considering the Key Factors for Fluctuating Container Traffic Volume", Journal of Korea Port Economic Association, Vol. 27, No. 1, pp. 95-109.
  11. Kim, S. K. and Kim. C. H.(2020), "Effect of the Port Security Cost-Sharing Contract on the Performance of Port Operators and Shipping Companies", Journal of the Korean Production and Operations Management Society, Vol. 31, No. 2, pp. 229-248. https://doi.org/10.32956/kopoms.2020.31.3.229
  12. Lee, M. K. and Kim, E. J.(2015), "The Economic Impacts of a Port Shutdown -Application of Demand Driven Models-", The Journal of shipping and logistics, Vol. 31, No. 4, pp. 839-861. https://doi.org/10.37059/tjosal.2015.31.4.839
  13. Omer, M., Mostashari, A., Nilchiani, R. and Mansouri, M.(2012), "A Framework for Assessing Resiliency of Maritime Transportation Systems", Maritime Policy and Management, Vol. 39, No. 7, pp. 685-703. https://doi.org/10.1080/03088839.2012.689878
  14. Pant, R., Barker, K., Ramirez-Marquez, J. E. and Rocco, C. M.(2014), "Stochastic Measures of Resilience and Their Application to Container Terminals", Computers and Industrial Engineering, Vol. 70, No. 1, pp. 183-194. https://doi.org/10.1016/j.cie.2014.01.017
  15. Park, C. S.(2020), "Effectiveness of Resilience Strategies for the Supply Network", Journal of the Korean Production and Operations Management Society, Vol. 31, No. 3, pp. 209-227. https://doi.org/10.32956/kopoms.2020.31.3.209
  16. Ridwan, A. and Noche, B.(2018), "Model of the Port Performance Metrics in Ports by Integration Six Sigma and System Dynamics", International Journal of Quality and Reliability Management, Vol. 35, No. 1, pp. 82-108. https://doi.org/10.1108/IJQRM-03-2016-0041
  17. Shin, N. and Park, S.(2019), "Evidence-Based Resilience Management for Supply Chain Sustainability: an Interpretive Structural Modelling Approach", Sustainability, Vol. 11, No. 2, p. 484. https://doi.org/10.3390/su11020484
  18. Touzinsky, K. F., Scully, B. M., Mitchell, K. N. and Kress, M. M.(2018), "Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard", Journal of Waterway, Port, Coastal and Ocean Engineering, Vol. 144, No. 4, 05018003. https://doi.org/10.1061/(asce)ww.1943-5460.0000446