• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.6
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• pp.543-553
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• 2008

Shipbuilding is a kind of ETO(Engineering To Order) industry which designs and produces a product in accordance to various requirement of customers, rules and regulations. Recently, the number of ordered ships has been increased by up to two or three times in each domestic shipyards. Most shipyards have been adopted 3D ship CAD, ERP(Enterprise Resource Planning) and APS(Advanced Planning System) to get an efficient product development and manufacturing system. However, not only the effective operation of 3D ship CAD, ERP and APS but also the production efficiency can be achieved only if product information management which can manages the product data is implemented in an integrated environment. Present study has suggested a systematic approach to implement a PLM system to manage the product data in early design shipbuilding. Also, a prototype of PLM is implemented to manage the product data in a basic ship-design. In the prototype system, a product structure and architecture of PLM is considered.

• Korean Journal of Computational Design and Engineering
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• v.11 no.1
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• pp.11-19
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• 2006

For several years, a research about the simulation for shipyard and shipbuilding has been performed. This research is based on the concept of PLM (Product Lifecycle Management) and DM (Digital Manufacturing). Global leading companies and research center are trying to get a good position of PLM, especially M&S field. Digital shipbuilding is to computerize shipyard facilities and shipbuilding processes, and to simulate expected scenarios of shipbuilding processes using a computer model in order to resolve a potential problem such as a bottleneck processes, and over loaded resources. In this paper, simulation methodology for shipbuilding is described. In addition, a local and global strategy for the use of simulation methodology is suggested. Finally, case studies about an indoor shop and an outdoor shop are described.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.79-87
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• 2024

Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.522-525
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• 2011

지금까지 제조업에서는 CAx(CAD, CAE, CAM) 시스템을 중심으로 설계와 생산의 효율성 증대를 이뤄왔다. 최근에는 제품을 중심으로 PLM(Product Lifecycle Management), 디지털 메뉴팩처링(Digital Manufacturing) 등의 개념을 도임하고 있으며, 이를 기반으로 설계와 생산의 효율성 증대뿐만 아니라, 디지털 제품을 중심으로 하는 제품 개발환경 구축을 통해 제조업의 불변과제 해결과 경쟁력 확보를 위해 노력하고 있다. 본 논문에서는 함정 설계와 정보 관리를 위한 프로세스 및 프레임워크 연구를 수행한다. 그리고 함정획득에 SBA 개념을 적용하기 위한 인프라스트럭쳐에 대해 연구를 수행한다. 객체 지향 개발방법론의 요구사항 분석법에 기반을 둔 SBA(Simulation-Based Acquisition) 프레임워크 정의 방법론을 정립하고 이를 바탕으로 3 차원 함정제품모델 중심의 획득업무 분석을 통해 SBA-NS 아키텍처와 함정제품정보(NSPI : Naval Ship Product Information) 참조모델을 정의하고자 한다.