• 제목/요약/키워드: ship management industry

검색결과 165건 처리시간 0.025초

선박 의장 BOM을 Lifecycle을 고려한 BOM 통합 방안 연구 (Integration of Ship Outfitting BOM with Lifecycle Stages)

  • 김대석;이경호;이장현;이정민;이광;김진호
    • 한국CDE학회논문집
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    • 제16권3호
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    • pp.187-196
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    • 2011
  • Generally, BOM (Bill of Material) means a part list which is needed to manufacture or assemble a product or part. During manufacturing processes, BOM is inevitably required for most of enterprise processes such as design, procurement, production planning/control, resource planning, and financial works. Every manufacturing industry uses many kinds of BOM's that are adjusted to the requirement of functions of their work division. Moreover, BOM evolves in different forms according to the product development phases such as conceptual design; function design, detail design, and production design because it is necessary to use different product structures to keep product data generated throughout the lifecycle of a product. This includes all data and information related to the all the product development phases. Shipbuilding works also are processed and controlled based on BOM. However, effective maintenance of ship outfitting BOM data is getting difficult as the amount and complexity of data have increased due to variety and long lifecycle of ship. For the effective management of outfitting BOM data, two aspects must be considered. One is how to classify numerous BOMs type and the others how to display BOMs. So this study suggests a method to classify BOM types and propose two categories - Structure BOM, Display BOM. Base on this result, we propose the integrated ship outfitting BOMs model and analysis outfitting BOMs.

앙상블 기법을 이용한 선박 메인엔진 빅데이터의 이상치 탐지 (Outlier detection of main engine data of a ship using ensemble method)

  • 김동현;이지환;이상봉;정봉규
    • 수산해양기술연구
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    • 제56권4호
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    • pp.384-394
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    • 2020
  • This paper proposes an outlier detection model based on machine learning that can diagnose the presence or absence of major engine parts through unsupervised learning analysis of main engine big data of a ship. Engine big data of the ship was collected for more than seven months, and expert knowledge and correlation analysis were performed to select features that are closely related to the operation of the main engine. For unsupervised learning analysis, ensemble model wherein many predictive models are strategically combined to increase the model performance, is used for anomaly detection. As a result, the proposed model successfully detected the anomalous engine status from the normal status. To validate our approach, clustering analysis was conducted to find out the different patterns of anomalies the anomalous point. By examining distribution of each cluster, we could successfully find the patterns of anomalies.

Tidal current simulation around the Straits of Korea and its application to a speed trial

  • Lee, Hee-Su;Lee, Byung-Hyuk;Kim, Kyung sung;Kim, Sung Yong;Park, Jong-Chun
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.474-481
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    • 2019
  • The speed trial of a ship is one of the important elements guaranteeing its performance under the contract between the ship owner and shipbuilding company. A speed trial at sea, where the tidal current and waves are suppressed to the maximum, can prevent measurement errors due to external force conditions. On the other hand, it is difficult to maintain a calm sea state in most sea areas determined by the influence of the tidal current, wave, wind, etc. Therefore, this study evaluated a method of simulating a tidal current, which is one of the external force conditions, at the speed test operation of a ship, and applied the simulation result to the plan of a speed trial.

선박속력 및 급유결정 문제에 대한 휴리스틱 알고리즘 (A Heuristic Algorithm for a Ship Speed and Bunkering Decision Problem)

  • 김화중;김재곤
    • 산업경영시스템학회지
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    • 제39권2호
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    • pp.19-27
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    • 2016
  • Maritime transport is now regarded as one of the main contributors to global climate change by virtue of its $CO_2$ emissions. Meanwhile, slow steaming, i.e., slower ship speed, has become a common practice in the maritime industry so as to lower $CO_2$ emissions and reduce bunker fuel consumption. The practice raised various operational decision issues in terms of shipping companies: how much ship speed is, how much to bunker the fuel, and at which port to bunker. In this context, this study addresses an operation problem in a shipping companies, which is the problem of determining the ship speed, bunkering ports, and bunkering amount at the ports over a given ship route to minimize the bunker fuel and ship time costs as well as the carbon tax which is a regulatory measure aiming at reducing $CO_2$ emissions. The ship time cost is included in the problem because slow steaming increases transit times, which implies increased in-transit inventory costs in terms of shippers. We formulate the problem as a nonlinear lot-sizing model and suggest a Lagrangian heuristic to solve the problem. The performance of the heuristic algorithm is evaluated using the data obtained from reliable sources. Although the problem is an operational problem, the heuristic algorithm is used to address various strategic issues facing shipping companies, including the effects of bunker prices, carbon taxes, and ship time costs on the ship speed, bunkering amount and number of bunkering ports. For this, we conduct sensitivity analyses of these factors and finally discuss study findings.

선박 부품 제조업의 기술혁신, 기술흡수역량과 경영성과 상호 간의 관계 연구 (A Study on The Relationship Between Technological Innovation, Technology Absorption Capacity, and Business Performance in Ship Parts Manufacturing)

  • 이동균
    • 한국콘텐츠학회논문지
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    • 제22권2호
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    • pp.617-629
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    • 2022
  • 본 연구는 선박 부품제조 기업의 기술혁신이 경영성과에 미치는 영향관계에서 기술흡수역량의 매개효과를 실증적으로 분석하였다. 이를 통해, 향후 기술개발과 관련된 경영전략 수립의 개선방안에 시사점을 제공할 수 있을 것이다. 본 연구목적을 달성하기 위하여, 부산, 경남 지역의 조선, 선박 부품업체의 연구개발, 마케팅, 생산·제조, 자금/회계 부서에 근무하는 총 362명을 연구대상자로 선정하였다. 본 연구결과, 선박 부품제조 기업의 기술혁신, 기술흡수역량이 경영성과에 정(+)적인 영향을 미치는 것으로 파악되었다. 이러한 연구결과를 근간으로 한 결론은 기술흡수역량을 구성하는 잠재흡수역량과 실현흡수역량이 지속적인 기술 역량 축적 등 기술혁신과 경영성과 상호 간에 주요한 핵심 요인이 될 것으로 판단된다. 실무적인 관점에서는 선박 부품제조 산업은 스마트 부품공정 기술흡수 역량에 집중할 필요성이 제기된다.

선박 자율운항 요소기술 시험을 위한 안전관리절차서 개발 (Development of Safety Management Procedures for an Autonomous Navigation Element Technology Test)

  • 우동한;이인규;임남균
    • 해양환경안전학회지
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    • 제27권5호
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    • pp.566-573
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    • 2021
  • 본 연구는 스마트 자율운항선박(Maritime Autonomous Surface Ship, MASS) 기술 개발 및 실증을 위한 산학 과제로서 목포해양대학교와 삼성중공업이 함께 참여한 연구가 안전하게 실시되어 질수 있도록 안전관리 절차서를 개발하였다. 본 연구에서는 국내 및 국제해사기구(International Maritime Organization, IMO)의 관련 가이드라인 및 해사 관련법 검토를 거쳐 안전관리 절차서를 개발하였다. 안전관리 절차서는 자율운항선박의 관련 해당 당국과 이해관계자들이 시스템 및 기반 시설에서 시험의 안전 및 환경 보호와 관련하여 적절하게 실시하기 위하여 국제해사기구에서 제시한 자율운항선박 시험을 위한 지침(MSC.1/Circ.1604, Annex : Interim guidelines for MASS trials)의 의거하여 개발 하였다. 개발된 안전관리 절차서는 당직체제로 운항 중인 선박에 항해보조기기로 탑재한 자율운항요소기술을 적용한 시스템의 해상 실증 시험을 위하여, 대한민국 연안의 해양환경보호와 항행 안전을 준수하면서, 관련 시스템의 시험이 안전하고 안정적으로 수행할 수 있도록 개발되었다.

트롤어업에서 어로기술개발에 따른 어획성능지수 변동 (Change of relative fishing power index from technological development in the otter trawl fishery)

  • 조현수;서영일;오택윤;안영수;김병엽;임영경;이유원
    • 수산해양기술연구
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    • 제56권1호
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    • pp.26-36
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    • 2020
  • Thousands of pelagic and demersal fishes inhabit the waters around Korea and many of them are overexploited. One of the reasons is technological development, which increases the efficiency of the vessels continuously. The analysis was conducted to identify the change of fishing power index to develop the vessel and gear technology that may have improved the fishing efficiency of the otter trawl fishery from 1960s to 2010s. Gross tonnage was decreased stably, but horse power was increased annually. The perimeter of net mouth was somewhat longer, but little changed. Color fish finder was utilized from the mid-1960s. Hydraulic net drum were introduced in the early 1990s, and supply rate was gradually increased. Surveys on the supply and upgrading of fishing equipment utilized visiting research. Therefore, the relative fishing power index in the trawl fishery increased about two to three times in the 2010s compared to the 1980s. The results are expected to contribute to reasonable fisheries stock management.

An Establishment of Super Wi-Fi Environment in Ships Based on UHF System of TMS

  • Kim, Jungwoo;Son, Jooyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2103-2123
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    • 2018
  • Ships built today are larger in scale and feature more complex structures. The ever-evolving systems used on board a ship require vast amounts of data processing. In the future, with the advent of smart ships, unmanned ships and other next-generation ships, the volumes of data to be processed will continue to increase. Yet, to date, ship data has been processed using wired networks. Placed at fixed locations, the nodes on wired networks often fail to process data from mobile devices. Despite many attempts made to use Wi-Fi on ships just as on land to create wireless networks, Wi-Fi has hardly been available due to the complex metal structures of ships. Therefore, Wi-Fi on ships has been patchy as the ship-wide total Wi-Fi coverage has not properly implemented. A new ship-wide wireless network environment is part of the technology conducive to the shipbuilding industry. The wireless network environment should not only serve the purpose of communication but also be able to manage and control multiple features in real-time: fault diagnostics, tracking, accident prevention and safety management. To better understand the characteristics of wireless frequencies for ships, this paper tests the widely used TETRA, UHF and Wi-Fi and sheds light on the features, advantages and disadvantages of each technology in ship settings. The proposed deployment of a Super Wi-Fi network leveraging the legacy UHF system of TMS generates a ship-wide wireless network environment. The experimental findings corroborate the feasibility of the proposed ship-wide Super Wi-Fi network environment.

Assessment of the effect of biofilm on the ship hydrodynamic performance by performance prediction method

  • Farkas, Andrea;Degiuli, Nastia;Martic, Ivana
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제13권1호
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    • pp.102-114
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    • 2021
  • Biofouling represents an important problem in the shipping industry since it causes the increase in surface roughness. The most of ships in the current world fleet do not have good coating condition which represents an important problem due to strict rules regarding ship energy efficiency. Therefore, the importance of the control and management of the hull and propeller fouling is highlighted by the International Maritime Organization and the maintenance schedule optimization became valuable energy saving measure. For adequate implementation of this measure, the accurate prediction of the effects of biofouling on the hydrodynamic characteristics is required. Although computational fluid dynamics approach, based on the modified wall function approach, has imposed itself as one of the most promising tools for this prediction, it requires significant computational time. However, during the maintenance schedule optimization, it is important to rapidly predict the effect of biofouling on the ship hydrodynamic performance. In this paper, the effect of biofilm on the ship hydrodynamic performance is studied using the proposed performance prediction method for three merchant ships. The applicability of this method in the assessment of the effect of biofilm on the ship hydrodynamic performance is demonstrated by comparison of the obtained results using the proposed performance prediction method and computational fluid dynamics approach. The comparison has shown that the highest relative deviation is lower than 4.2% for all propulsion characteristics, lower than 1.5% for propeller rotation rate and lower than 5.2% for delivered power. Thus, a practical tool for the estimation of the effect of biofouling with lower fouling severity on the ship hydrodynamic performance is developed.

KDD에 기반한 경영성과 분석 시스템 구현 (Implementation of Management performance Analysis System with KDD)

  • 안동규;조성훈
    • 한국디지털정책학회:학술대회논문집
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    • 한국디지털정책학회 2004년도 춘계학술대회
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    • pp.575-592
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    • 2004
  • In modern dynamic management environment, there is growing recognition that? information & knowledge management systems are essential for CEO's efficient/effective decision making. As a key component to cope with this current, we suggest the management performance analysis syystem based on Knowledge Discovery in Database (KDD). The system measures management performance that is considered with both VA(Value- Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. The relation ship between management performance and some 80 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied KDD process which includes such as multidimensional cube, OLAP(On-Line Analytic Process), data mining and AHP(Analytic Hierarchy Process). To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISF AS(Korea Investors Services Financial Analysis System).

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