• 한국컴퓨터정보학회논문지
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• 제16권6호
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• pp.165-178
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• 2011

선박 건조공정의 초기 단계인 강재적치처리공정에서는 입수한 강재를 어느 선박블록을 제작하는데 사용될 것인가에 따라 수십 개의 적치장을 이용하여 분류한다. 이 과정에서 강재를 잘못된 적치장에 적치하는 적치 오류, 무거운 강재를 다루는데 수반되는 작업자 안전 취약성, 각 적치장의 강재 정보 관리의 미비로 인한 작업 계획의 불확실성 등으로 인하여 생산성이 크게 저하된다. 이러한 문제점을 해결하기 위하여 상황인식 컴퓨팅 기술을 적용하여 지능형 강재적치처리시스템을 구축하였다. 연구의 효율성을 위하여 강재적치처리 작업과정을 보여줄 수 있는 시뮬레이터를 제작하였으며, 센서, RFID 태그, 실시간 위치추적시스템과 같은 기술을 활용하여 공간 내에 있는 객체들의 위치 및 작업 처리 상태 등, 상황정보를 실시간으로 획득할 수 있도록 유비쿼터스 컴퓨팅 공간을 구축 하였다. 본 연구는 유비쿼터스 컴퓨팅 기술을 적용한 선박 건조 생산성 제고는 물론 대규모 생산현장에 IT를 적용하는 제조IT 융합연구의 새로운 모델을 제시하였다는데 의미가 크다고 할 수 있다.

• 대한조선학회논문집
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• 제51권2호
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• pp.130-137
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• 2014

As one of the largest shipbuilding company in the world, STX Offshore & Shipbuilding currently developed an inventory managing system for steel-plates, which is applied to their steel stock yard. In a traditional way to manage steel yard, almost every work has been done by manually. The manual steel-plate piling process caused some problems such as process delay due to piling errors and the uncertainty of work plan due to lack of information. To solve these problems, we developed an integrated inventory managing system based on real-time crane tracking system which automatically updates steel-plates' piling status. We built the integrated steel-plate database, developed several programs including steel-plate input program, real-time steel-plate monitoring program and steel-yard management program, and constructed hardware system for tracking magnetic cranes. As a result, a supervisor of steel-yard can manage the inventory of steel-plates efficiently and furthermore plan an efficient piling schedule and crane working schedule.

• 산업공학
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• 제18권2호
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• pp.167-177
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• 2005

As the largest shipbuilding company in the world and the leader in the Korean merchant shipbuilding industry, Hyundai Heavy Industries is currently struggling to carry out intensive productivity improvement efforts in order to be the global merchant shipbuilding market leader by surpassing in the competition with Japan and being free from the defiance of China armed with very cheap labor costs. This paper introduces the academy-and-industry collaborative project, a part of the productivity improvement efforts, which has conducted on the steel stockyard operations. As a pilot project that researches for the way of improving the stockyard operations and ignites further projects on the stockyard operations, the project defined the stockyard operations, measured current situations, and analyzed management dilemmas. In addition, the project developed the steel stockyard operations simulator. Besides that the simulator is used by the operations manager who has heavily relied on his work-experienced intuition when making decisions, this paper expects that further projects on the stockyard operations utilize the simulator for their own purposes.