• 제목/요약/키워드: Ship management company

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Improve the Logistics System of the Auto Parts Enterprises Bar (자동차 부품 기업의 물류시스템 개선 방안 연구)

  • Lim, Jong-chul;Kang, Kyung-sik
    • Journal of the Korea Safety Management & Science
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    • v.19 no.1
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    • pp.237-243
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    • 2017
  • Currently, Korea is actually increasing and increasing demand for leisure such as parts for A/S of automobile parts of the car, as well as trends in borrowing and finished parts are also required a steady increase in automobile traffic daetsu. There is one car and want to be driving a car A/S parts supplier smoothly for many years and that it is often the case if it is not supplied in a timely fashion, it is a reality that many eonseong hear from customers. These symptoms can be confirmed that the logistics systems of a system of selling auto parts supplier but above all a problem for several reasons, which will be considered as areas for improvement should be done urgently. Enterprises internally cooperation automotive supplier, but the need to get out to re-examine urgently complemented by the logistics system of systems to allow better respond to complex environmental changes of our customers grow, and now also the proliferation of small ship-run screen and Darvin, there is increasing distribution and logistics services, including logistics costs as a lack of work force that the company is itgetda can be called by the reality that the chances of getting a lot of jeyakreul own growth. Given this situation, the procurement of logistics enterprises. In-house logistics. Classified as sales logistics examined the long-term improvement of logistics distribution networks based on this part to derive into the problems of logistics and parts distribution system of Korean auto parts dealer.

A Network Optimization Model for Strategic Itinerary Planning of Cruise Fleet (크루즈 선대의 운항일정계획을 위한 네트워크 최적화 모형)

  • Cho, Seong-Cheol;Won, You-kyung;Kim, Jung-Hyeon
    • Journal of Navigation and Port Research
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    • v.36 no.1
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    • pp.51-58
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    • 2012
  • In spite of today's rapid growth of world cruise industry, little academic attention has yet been given to the decision making problems for cruise operations. This research deals with strategic cruise itinerary planning that any cruise company should face. Increasing demands for international itineraries and redeployments of cruise ships are adding complexity to the itinerary planning. A slight modification of the conventional PERT/CPM network is adopted. to cope with this complexity systematically. By this, the concept of candidate itinerary network is suggested for each cruise ship. To integrate these candidate itinerary networks for each ship in a single framework, an integer programming model has been developed to find the optimal itinerary planning for any fleet of cruise ships. A numerical example, based on real cruise itinerary practices, is tested to validate and interpret the model.

Spatial Scheduling for Mega-block Assembly Yard in Shipbuilding Company (조선소의 메가블록 조립작업장을 위한 공간계획알고리즘 개발)

  • Koh, Shie-Gheun;Jang, Jeong-Hee;Choi, Dae-Won;Woo, Sang-Bok
    • IE interfaces
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    • v.24 no.1
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    • pp.78-86
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    • 2011
  • To mitigate space restriction and to raise productivity, some shipbuilding companies use floating-docks on the sea instead of dry-docks on the land. In that case, a floating-crane that can lift very heavy objects (up to 3,600 tons) is used to handle the blocks which are the basic units in shipbuilding processes, and so, very large blocks (these are called the mega-blocks) can be used to build a ship. But, because these mega-blocks can be made only in the area near the floating-dock and beside the sea, the space is very important resource for the process. Therefore, our problem is to make an efficient spatial schedule for the mega-block assembly yard. First of all, we formulate this situation into a mathematical model and find optimal solution for a small problem using a commercial optimization software. But, the software could not give optimal solutions for practical sized problems in a reasonable time, and so we propose a GA-based heuristic algorithm. Through a numerical experiment, finally, we show that the spatial scheduling algorithm can provide a very good performance.

Developing a Supply Chain Assessment Framework for Ship Building Industry: A Case study of A Company (조선 산업의 공급망 수준진단 프레임워크 개발: A조선소 사례를 중심으로)

  • Jeong, Seok-Bong
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.243-253
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    • 2013
  • As global competition is more intensive, SCM is becoming more and more important in order to achieve competitiveness. It is necessary for firms to understand weak points among the integrated supply chain through supply chain assessment in order to implement SCM successfully and cost-effectively. In this paper, we review previous studies of SCM performance measurements and propose a supply chain assessment framework for shipbuilding industry, which is one of the major ETO industry. Based on 3 supply chain domains which are demand, supply, and product management, we decompose the whole supply chain process into 3 level lower processes and propose capability measurement matric for shipbuilding firms. A case study has been conducted to validate the proposed framework and results are presented at the end.

A study on the training program for an effective Bridge Resource Management education (효과적인 선교자원관리 교육을 위한 훈련프로그램에 대한 연구)

  • Yang, Dong-Bok;Jeong, Jung-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.227-230
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    • 2013
  • Recently, IMO STW Committee has released a model course of Bridge Resource Management. The Leadership and Teamwork among non-technical skills related to human factor is included at STCW 2010 Manila Amendments. Until now, the BRM education in Korea has been independently operated by each related educational institution, i.e., Shipping Company, University due to absence of model course. In this research the focus is on the simulation module among items for the BRM program. During the simulation from the BRM training, the trainee's reaction and popular functions on simulator have been investigated and analyzed to develop a simulation module for effective BRM education.

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Study on the Forecasting and Effecting Factor of BDI by VECM (VECM에 의한 BDI 예측과 영향요인에 관한 실증연구)

  • Lee, Sung-Yhun;Ahn, Ki-Myung
    • Journal of Navigation and Port Research
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    • v.42 no.6
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    • pp.546-554
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    • 2018
  • The Bulk market, unlike the line market, is characterized by stiff competition where certain ship or freight owners have no influence on freight rates. However, freights are subject to macroeconomic variables and economic external shock which should be considered in determining management or chartering decisions. According to the results analyzed by use of ARIMA Inventiom model, the impact of the financial crisis was found to have a very strong bearing on the BDI index. First, according to the results of the VEC model, the libor rate affects the BDI index negatively (-) while exchange rate affects the BDI index by positively (+). Secondly, according to the results of the VEC model's J ohanson test, the order ship volume affects the BDI index by negatively (-) while China's economic growth rate affects the BDI index by positively (+). This shows that the shipping company has moved away from the simple carrier and responded appropriately to changes in macroeconomic variables (economic fluctuations, interest rates and exchange rates). It is believed that the shipping companies should be more aggressive in its "trading" management strategy in order to prevent any unfortunate situation such as the Hanjin Shipping incident.

A Case Study on the Establishment of Upper Control Limit to Detect Vessel's Main Engine Failures using Multivariate Control Chart (다변량 관리도를 활용한 선박 메인 엔진의 이상 관리 상한선 결정에 관한 연구)

  • Bae, Young-Mok;Kim, Min-Jun;Kim, Kwang-Jae;Jun, Chi-Hyuck;Byeon, Sang-Su;Park, Kae-Myoung
    • Journal of the Society of Naval Architects of Korea
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    • v.55 no.6
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    • pp.505-513
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    • 2018
  • Main engine failures in ship operations can lead to a major damage in terms of the vessel itself and the financial cost. In this respect, monitoring of a vessel's main engine condition is crucial in ensuring the vessel's performance and reducing the maintenance cost. The collection of a huge amount of vessel operational data in the maritime industry has never been easier with the advent of advanced data collection technologies. Real-time monitoring of the condition of a vessel's main engine has a potential to create significant value in maritime industry. This study presents a case study on the establishment of upper control limit to detect vessel's main engine failures using multivariate control chart. The case study uses sample data of an ocean-going vessel operated by a major marine services company in Korea, collected in the period of 2016.05-2016.07. This study first reviews various main engine-related variables that are considered to affect the condition of the main engine, and then attempts to detect abnormalities and their patterns via multivariate control charts. This study is expected to help to enhance the vessel's availability and provide a basis for a condition-based maintenance that can support proactive management of vessel's main engine in the future.

Decision Supprot System fr Arrival/Departure of Ships in Port by using Enhanced Genetic Programming (개선된 유전적 프로그래밍 기법을 이용한 선박 입출항 의사결정 지원 시스템)

  • Lee, Kyung-Ho;Yeun, Yun-Seog;Rhee, Wook
    • Journal of Intelligence and Information Systems
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    • v.7 no.2
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    • pp.117-127
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    • 2001
  • The Main object of this research is directed to LG Oil company harbor in kwangyang-hang, where various ships ranging from 300 ton to 48000ton DWT use seven berths in the harbor. This harbor suffered from inefficient and unsafe management procedures since it is difficult to set guidelines for arrival and departure of ships according to the weather conditions and the current guidelines dose not offer clear basis of its implications. Therefore, it has long been suggested that these guidelines should be improved. This paper proposes a decision-support system, which can quantitatively decide the possibility of entry or departure on a harbor by analyzing the weather conditions (wind, current, and wave) and taking account of factors such as harbor characteristics, ship characteristics, weight condition, and operator characteristics. This system has been verified using 5$_{th}$ and 7$_{th}$ berth in Kwangyang-hang harbor. Machine learning technique using genetic programming(GP) is introduced to the system to quantitatively decide and produce results about the possibility of entry or arrival, and weighted linear associative memory (WLAM) method is also used to reduce the amount of calculation the GP has to perform. Group of additive genetic programming trees (GAGPT) is also used to improve learning performance by making it easy to find global optimum.mum.

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The Impact of Capital Structure for Ship Investments on Corporate Stability (선박투자자금의 조달구조가 기업의 안정성에 미치는 영향)

  • Cho, Seong-Soon;Yun, Heesung
    • Journal of Navigation and Port Research
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    • v.45 no.6
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    • pp.276-283
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    • 2021
  • The capital structure of the shipping business, which is characterized by its capital intensity and extreme market volatility, is closely related to long-term stability. Research in this area has been conducted mostly in the form of deriving the determinants of capital structure from company-wise financial ratios. This research, on the other hand, has a different approach to the topic. It identifies the relationship between actual cash profit and loss and other variables - i.e. actual vessel prices, interest rates and leverage ratio - by employing historical simulation. The result demonstrates that the P anamax cash profit shows 0 (break-even point) when the debt weight reaches 64.38% (debt ratio 180.74%) and the Cape, 73.04% (debt ratio 270.92%). Additionally, the ships of different types show a divided pattern for the pre- and post-'Super Boom'. It indicates that the business area and the market cycle should be considered when a leverage strategy is established. This research benefits shipping companies set a rational leverage strategy as well as delivers a reasonable guideline to government authorities for the development of a sound policy on shipping finance.

The Effect of Characteristics of Ship Organizational Culture on Job Satisfaction and Turnover Intention of Sailors (선박조직문화가 선원의 직무만족과 이직의도에 미치는 영향)

  • Shin, Hae-Mi;Noh, Cang Gyun;Lee, Chang Young
    • Journal of Korea Port Economic Association
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    • v.33 no.3
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    • pp.121-138
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    • 2017
  • Organizational culture represents values and beliefs that members share and is a factor that influences the behavior of organizational members. Understanding organizational culture is a source of competitive advantage to increase the rate of success and efficient management of the organization. The purpose of this study is to determine the relationship between job satisfaction and the turnover intention of sailors. To achieve its purpose, the study was developed by examining the properties to be used for the demonstration and the purpose of the study, and verifying the hypothesis through empirical analysis. Empirical analysis showed that developmental, rational, and group cultures among organizational culture have a significant impact on job satisfaction. When the organizational culture has a group culture and an extrinsic factor to job satisfaction, it has a negative effect on turnover intention. This implies that the shipping company needs to foster organizational culture to feel like growing for Sailors themselves and to improve relationship and cooperation with other sailors rather than trying to control strongly. The shipping company will need to educate members and manage its organizational culture consistently for improving the organizational culture.