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Super-SBM 모형을 이용한 국내 양곡전용부두 항만의 효율성 분석

Analyzing the Efficiency of Grain Handling Ports in Korea Using the Super-SBM Model

  • 심민섭 (국립한국해양대학교 해양콘텐츠융복합협동과정 물류시스템전공) ;
  • 이창환 (고려사일로) ;
  • 김율성 (국립한국해양대학교 물류시스템공학과) ;
  • 남정우 (국립한국해양대학교 일반대학원 물류시스템학과)
  • Min-Seop Sim (Department of Convergence Interdisciplinary Education, Korea Maritime and Ocean University) ;
  • Chang-Hwan Lee (Management Planning Department, KCTC SILO) ;
  • Yul-Seong Kim (Logistics system engineering, Korea maritime and Ocean University) ;
  • Jung-Woo Nam (Logistics system engineering, Korea maritime and Ocean University)
  • 투고 : 2024.07.09
  • 심사 : 2024.07.30
  • 발행 : 2024.08.31

초록

글로벌 양곡시장은 COVID-19, 기상이변 및 자연재해, 러시아-우크라이나 전쟁 등으로 인하여 불확실성이 커지면서 양곡수급의 불안정이 발생하였다. 그리고 최근 지가상승과 제분·사료공장에 대한 민원의 제기로 양곡화물 연관업체는 경기도 지역에서 경기도 남부권, 충청권 등으로 이전하였다. 이러한 국내외 양곡시장의 변화에도 불구하고 국내 양곡부두는 유연하게 반응하여 제반시설을 효율적으로 운영하지 못하고 있다. 이에 본 연구에서는 Super-SBM 모형을 이용한 국내 양곡부두 효율성 분석을 진행하였으며, 다음과 같은 결과를 도출하였다. 첫째, Super-SBM 모형 CCR 분석결과 효율성 값이 1.000보다 높아 효율적으로 분석된 양곡부두 항만은 평택항, 군산항으로 나타났다. 둘째, Super-SBM 모형 BCC 분석결과 효율성 값이 1.000보다 높아 효율적으로 분석된 양곡부두 항만은 부산항, 평택항, 군산항으로 나타났다. 이러한 결과를 바탕으로 국내 양곡전용부두 항만의 운영계획과 관련된 다양한 시사점을 도출하였다.

The risks in global grain markets have increased due to COVID-19, extreme weather, natural disasters, and the Russia-Ukraine conflict. Additionally, in Korea, the locations for grain manufacturing have shifted owing to various factors. Despite these environmental changes, grain handling ports in Korea are limited in their capacity to respond promptly, resulting in operational inefficiencies. This study clarified changes in grain throughput and analyzed the efficiency of grain handling ports using the Super-SBM model. It suggested that the ports in Pyeongtaek and Gunsan were the most efficient, based on CCR and BCC results in 2022. These findings could provide several insights related to port operating plans for port operators, managers, and developers.

키워드

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