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A Study on the Improvement of Yard-Cargo Dispersal at a Seaport of Debarkation using Simulation Modeling

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2026, 12(2), pp.57~64
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 3, 2026
  • Accepted : April 17, 2026
  • Published : April 30, 2026

Hyun Seok Bang 1 Cho Gyu Sung ORD ID 1

1동명대학교

Accredited

ABSTRACT

As international conflicts such as the Russia–Ukraine war become prolonged, the rapid restoration of wartime Sea Ports Of Debarkation (SPOD) and their ability to support the swift deployment of reinforcement forces have become critical factors in wartime operations. In Korea, the Ministry of Oceans and Fisheries, as the lead agency, establishes dispersal plans for container-yard cargo at SPODs under the Chungmu Plan to ensure the continuity of government functions and support military operations during national emergencies. However, if commercial cargo remaining in the Container Yard (CY) at the time of wartime declaration is not promptly dispersed to alternative locations, reduced yard availability and congestion between commercial and military cargo may delay the subsequent handling of military supplies. To address this issue, this study proposes an integer programming–based evaluation method for dispersal planning aimed at improving the efficiency of cargo dispersal at wartime SPODs. To validate the proposed method, a discrete-event simulation model using AnyLogic was applied to Terminal A of Busan Port, and the effectiveness of the integer programming–based dispersal planning approach was verified. The results demonstrate the structural limitations of achieving full dispersal within the target period under the current force conditions of the Chungmu Plan, and suggest the necessity of continuously incorporating quantitative considerations of dispersal equipment scale, site capacity, and transportation route constraints.

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