한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제20권1호
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  • Pages.237-246
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  • 2015
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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시뮬레이션을 활용한 신기술 항만장비의 생산성 추정

The Estimation of Productivity Considering New Technology Port- Equipment By Using Simulation

  • 김동원 (고려대학교 산업경영공학과)
  • Kim, Dong-Won (Dept. of Industrial Management Engineering, Korea University)
  • 투고 : 2014.11.13
  • 심사 : 2014.12.17
  • 발행 : 2015.01.31
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초록

본 논문에서는 컨테이너터미널에서 탠덤 리프트 안벽크레인과 고생산성 컨테이너 이송차량 Alternative ship-to-yard vehicles를 고려한 시뮬레이션을 활용하여 컨테이너터미널의 생산성 향상 모델을 제안한다. 이 방법의 특징은 탠덤 리프트 안벽크레인과 고생산성 컨테이너 이송차량의 데이터를 도출하고, 회귀분석 함으로써 탠덤 리프트 안벽크레인의 생산성 모델을 추정한다. 탠덤 리프트 안벽크레인은 한 사이클 당 20ft 컨테이너 4개, 40ft 컨테이너 2개를 동시에 취급함으로서 기존의 싱글 안벽크레인보다 이론상 약 2배의 컨테이너 생산성을 증가시키는 장비이고 Alternative ship-to-yard vehicles는 기존의 야드 트랙터보다 더 많은 최대 4TEU의 컨테이너를 운반시킬 수 있는 장비이다. 본 논문에서는 신기술 안벽장비인 탠덤 리프트 안벽크레인과 신기술 이송장비인 Alternative ship-to-yard vehicles를 적용한 시뮬레이션을 통하여 생산성에 관한 데이터를 도출하고 통계 기법인 회귀분석을 통하여 컨테이너 터미널의 생산성의 추정모델을 구해보고자 한다.

In this paper, Improved productivity models of container terminal are provided by utilizing a simulation considering Tandem-lift Quay Crane and transport vehicle of container's high productivity 'Alternative ship-to-yard vehicles.' Feature of this method is deriving the data of tandem-lift Quay Crane and Alternative ship-to-yard vehicles, estimating the productivity model of tandem-lift Quay Crane by using regression analysis. Tandem-lift Quay Crane is equipment of loading and unloading to increase productivity approximately by 2 time existing (single, twin) Quay Crane by dealing with four 20ft containers or two 40ft containers at the same. Alternative ship-to-yard vehicles can transfer containers(4TEU) more than existing Yard Tractor. This paper is deriving the optimal combination showing the highest productivity by using simulation considering Tandem-lift Quay Crane and Alternative ship-to-yard vehicles on container terminals and developing estimating model of productivity by using regression analysis using data of simulation.

키워드

참고문헌

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