• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.56-58
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• 2019

미세먼지 등 대기오염에 대한 국민적 관심 증가로 정부에서는 2022년까지 국내 배출량 30% 감축을 목표로 하는 '미세먼지 관리 종합대책'을 수립(2017년)하였으며, 국제해사기구(IMO)는 선박의 대기오염물질 배출량 감소를 위한 규정을 강화는 등 대기오염물질 감축을 위한 다양한 노력이 추진되고 있다. 그러나, 부산항을 포함한 부산지역의 미세먼지 농도는 선진국 및 WHO 기준에 비해 여전히 2~3배 높은 수준으로 부산의 주요산업인 부산항을 관리 운영하는 주체인 부산항만공사는 '부산항 미세먼지 종합대책'을 수립하여 추진하고 있다. 본 논문에서는 부산항 내 운영 중인 항만 내 대기오염측정소 데이터를 포함한 항만 인근지역과 타항만의 미세먼지 농도를 분석하였으며, 부산항만공사에서 추진한 항만 하역장비 대기오염물질 배출량 조사결과와 '야드트랙터 LNG 연료전환사업', 'AMP설비 설치사업' 등 '부산항 미세먼지 종합대책'과 그 성과를 소개하고 있다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.5
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• pp.53-59
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• 2019

Continuous ship unloaders (CSUs) are used for the uninterrupted transport of material in processing industries, power plants, and harbors in accordance with the stream rate of the material. This study analyzed the structural integrity and fatigue life of a CSU structure using finite element structural analysis in ANSYS APDL software. The stress varied greatly depending on the luffing angle and the slew angle of the boom conveyor. The structural integrity of the CSU girder was evaluated by applying ASME BPVC Section VIII Division 2. The fatigue cycle at the angle with the greatest stress difference was calculated. The fatigue cycle was calculated by applying the JIS B 8821:2013 fatigue curve. It was confirmed that the fatigue cycle of the CSU satisfies the allowable fatigue of 200,000 cycles.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.109-111
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• 2021

IT를 기반으로 하는 상거래 시장은 COVID-19와 맞물려 많은 변혁이 오고 있다. 과거 오프라인에서 주로 소비되던 생필품이 전자상거래 시장으로 이동하는 등 COVID-19 이후 온라인 구매 전환이 더욱 확대 강화될 것으로 보인다. 그로인해 물류센터를 운영하는 물류기업 또한 과거 하역 및 하역에 수반하는 보관중심의 전통적 물류기능만을 고수하기에는 변화되는 트랜드가 너무 급박하여 기업의 존립까지도 위협을 받을 수 있다. 이에 본 연구에서는 항만의 미래 생존전략을 위해 전자상거래 시대의 환경변화에 빠르게 대응할 수 있도록 국가간 전자상거래 기반 부산항의 풀필먼트센터 구축 당위성과 전환수요 등을 도출하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.213-213
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• 2003

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2009.10a
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• pp.520-521
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• 2009

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.229-238
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• 2007

• Corrugated packaging logistics
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• v.3 no.14
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• pp.34-58
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• 1996

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.127-132
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• 2004

Most q the domestic container terminals are inferior to throughput q container. The reason why they have the difference between the handling capacity q planed quay and its real. By putting into quay handling equipment, the productivity of quay can be improved, waiting rate q the ship can be lowed. This paper suggests more resonable terminal construction, throughout comparing with previous construction way, improved handling capacity and the economical efficiency of equipment costs, labor costs, construction costs, operation costs on change of terminal size by adding the equipment.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.179-184
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• 2003

In order to mitigate the overcapacity of Busan port, Busan new port has been developed as transshipment port which is capable of handling 8,000 TEU containership. Generally, design of transshipment port has to reflect the capacity of feeder because both mother vessels and feeders enter the planned port at the same time. However, the existing plan of Busan new port capacity needs to be reexamined since the adopted capacity of each berth at new port, 300,000 TEU, does not seem to be enough to handle both mother vessels and feeders. Therefore, in this study we calculated the required number of berth and berth length by considering cargo handling capacity in terms of the ship size and this study makes some implications in relation with the terminal development plan.

• Journal of Navigation and Port Research
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• v.38 no.5
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• pp.493-501
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• 2014

An automated lifting vehicle(ALV) used in an automated container terminal is a type of unmanned vehicle that can self-lift a container as well as self-transport it to a destination. To operate a fleet of ALVs efficiently, one needs to be able to determine a minimum-time route to a given destination whenever an ALV is to start its transport job. To find a route free from any collision or deadlock, the occupation time of the ALV on each segment of the route should be carefully scheduled to avoid any such hazard. However, it is not easy because not only the travel times of ALVs are uncertain due to traffic condition but also the operation times of cranes en route are not predicted precisely. In this paper, we propose a routing method based on an ant colony optimization algorithm that takes into account these uncertainties. The result of simulation experiment shows that the proposed method can effectively find good routes under uncertainty.