• Title/Summary/Keyword: lifecycle data

Search Result 202, Processing Time 0.024 seconds

Multi-level Product Information Modeling for Managing Long-term Life-cycle Product Information (수명주기가 긴 제품의 설계정보관리를 위한 다층 제품정보 모델링 방안)

  • Lee, Jae-Hyun;Suh, Hyo-Won
    • Korean Journal of Computational Design and Engineering
    • /
    • v.17 no.4
    • /
    • pp.234-245
    • /
    • 2012
  • This paper proposes a multi-level product modeling framework for long-term lifecycle products. The framework can help engineers to define product models and relate them to physical instances. The framework is defined in three levels; data, design model, modeling language. The data level represents real-world products, The model level describes design models of real-world products. The modeling language level defines concepts and relationships to describe product design models. The concepts and relationships in the modeling language level enable engineers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are explained to show how the framework can manage long-term lifecycle product information. A prototype system is provided for further understanding of the framework.

A Study on the Scope of Government R&D Planning : Focused on the Energy and Resources Production Technology (R&D기획의 범위에 대한 고찰 : 에너지·자원 생산기반기술을 중심으로)

  • Park, Jungkyu
    • Economic and Environmental Geology
    • /
    • v.45 no.5
    • /
    • pp.579-587
    • /
    • 2012
  • The purpose of this study is to emphasize the necessity of extention of a government R&D planning scope. Presently, government R&D planning is focused on the selecting a R&D project. There is no R&D strategy for R&D conducting such as the composition of R&D team, collaboration and knowledge flow. Ordinarily these strategies are established by research director. This study analyzed the determinants of excellent R&D performance and proposed R&D strategy for R&D conducting using the patent bibliograpy information in energy resources production technology field. On the other hand, this study introduced the concept of technology lifecycle and showed that R&D strategy should be differentiated by technology lifecycle.

A Study on Lifecycle Cost Model for Electronic Records & Archival Management (공공 전자기록의 생애주기 기반 관리 비용 모형에 관한 연구)

  • Hyun, Moonsoo
    • Journal of the Korean Society for information Management
    • /
    • v.30 no.1
    • /
    • pp.151-178
    • /
    • 2013
  • This study aims to propose a lifecycle cost model for electronic records & archival management. For this purpose, the study identified cost elements based on analysing public records & archival management activities and proposed cost factors for management by applying data gathered from records centers & archives. The study employed various methods: desk research, activity analysis, a cost information survey and interviews with experts in digital preservation, and records/archival management. The study made the first step to the cost studies in electronic records management in Korea. It is expected to update the CoMMPER model and redefine activities of electronic records management. Further case studies based on the model is required.

A Study on the Issue Lifecycle through the Analysis of News Texts - A Case of Samsung Galaxy Note 7 - (신문기사 분석을 통한 이슈 라이프사이클에 관한 연구 - 삼성 갤럭시노트7 사례 -)

  • Heo, Pil Hee;Kim, Yang Sok;Lee, Choong Kwon
    • Smart Media Journal
    • /
    • v.7 no.4
    • /
    • pp.99-105
    • /
    • 2018
  • It is often the case that products or services on the market are causing problems, which hurt the business and image of the company. Responding appropriately to the problem and minimizing the damage is very important to business organizations. This study collected and analyzed the news articles related to the recall of the Galaxy Note 7, which was developed and launched by Samsung Electronics, one of the smartphone market leaders. Based on the issue lifecycle, the characteristics of the news were expressed by stages and the contents of the news were analyzed and visualized using association rules. The results of this study are expected to help business organizations to understand the changes and trends of issues and search for counter measures.

The Analysis of Railroad Operating Costs in Korean Railroad Projects

  • SungWook KANG;DongHee KIM;GyuBae KIM
    • East Asian Journal of Business Economics (EAJBE)
    • /
    • v.12 no.1
    • /
    • pp.35-42
    • /
    • 2024
  • Purpose: A railroad project is a complex system with large construction costs in the initial stage and ongoing operating costs over its lifecycle. Current railroad projects tend to be based on construction options, which leads to huge deficiencies in operating costs. This phenomenon results from a lack of appropriate tools to accurately estimate a railroad project's lifecycle costs. This study attempts to analyze the major components of railroad operating costs and to propose a decision-making system for analyzing the long-term lifecycle costs of railroad projects. Research design, data and methodology: We review the literature and analyze the current status of railroad operating costs in Korea and overseas. Based on previous projects, a framework for project options and operating costs is proposed. The framework is applied to actual railroad projects to demonstrate the validity of the model. Results: Case analysis shows that our framework is comprehensive in analyzing the primary aspects of railroad operating costs and plays an effective role in choosing various railroad project options. This study points out that the railway project operates inefficiently because estimating long-term costs without reflecting specific project options causes many errors. Conclusions: A major contribution of this study is the development of an improved framework for accurately estimating operating costs and providing policymakers and engineering firms with a holistic decision support system. Detailed components in estimating operating costs of the railroad business are discussed. And we present a decision-making tool that policymakers and private businesses can use in planning the railroad business.

Scientists' Information Behavior for Bridging the Gaps Encountered in the Process of the Scientific Research Lifecycle (과학기술분야 연구활동 단계별 문제상황 극복을 위한 정보행동 연구)

  • Lee, Jung-Yeoun;Chung, Eun-Kyung;Kwon, Na-Hyun
    • Journal of the Korean Society for information Management
    • /
    • v.29 no.3
    • /
    • pp.99-122
    • /
    • 2012
  • This study analyzed scientists information behaviors when they engage in solving specific research problems in various situations throughout the entire scientific R&D lifecycle process. In-depth interviews with a total of 24 scientists were conducted in their research laboratories, the scientists' everyday workplace and the contexts of scientific research. The theoretical and methodological frameworks employed for this study were Dervin's Sense-making, Savolainen's Everyday Life Information Seeking, and Engestrom's Activity Theory. The findings of this study informed context-specific research and information behaviors of the scientists in the 14 sub stages of the five-stage of R&D lifecycle. Specifically, the study revealed the research objectives and related information behaviors (e.g., information needs, information seeking, information sources and channels, information barriers, etc.) to achieve the objectives at each sub-stage. The study results provided essential information to re-design the information services and strategies that accommodate the scientific R&D lifecycle.

Understanding Scientific Research Lifecycle: Based on Bio- and Nano-Scientists' Research Activities (과학기술분야 R&D 전주기 연구 - 국내 생명 및 나노과학기술 연구자를 중심으로 -)

  • Kwon, Na-Hyun;Lee, Jung-Yeoun;Chung, Eun-Kyung
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.46 no.3
    • /
    • pp.103-131
    • /
    • 2012
  • This study aimed to identify the entire lifecycle of research projects in science and technology. Specifically, it attempted to reveal major research steps and research activities from the beginning to the end of R&D projects. It also investigated information needs, source use and problems scientists encounter in each research step. In-depth interviews with 24 Korean scientists in the fields of bio- and nano-science and technology revealed five major steps of lifecycle, namely idea formation, seeking funding, experiment and analysis, output disseminations, and evaluation. We further identified specific information behaviors and salient communication and research tools in each step.

Development of Lifecycle Support Modules for the ISO 10303-AP241; Generic model for Lifecycle support of AEC facilities (AEC 시설물 공통모델(ISO 10303-AP241)의 생애주기 지원 모듈 개발)

  • An, Kyung-Ik;Kim, In-Han
    • Korean Journal of Computational Design and Engineering
    • /
    • v.13 no.5
    • /
    • pp.342-351
    • /
    • 2008
  • ISO 10303-AP241 is an Application Protocol of ISO 10303, which specifies the representation of AEC facility's life cycle information. The Working Draft of AP241 was submitted to the TC184/SC4 of ISO in July, 2007 by Korean team of ISO TC184/SC4/WG3. This paper introduces the currently developed draft Ap241 core model, and describes the life cycle support modules which are required to represent the life cycle information of AEC facilities. The draft core model is developed as a generic data model which is useful as a basis for implementation in a data warehouse. This core model could be used in combination with reference data such as PLCS RDL, Gellish table and RDL of ISO 15926. These concepts already exists in ISO 10303-AP221, AP239 and ISO 15926. In order to support maintenance and feedback of operational information concerning the AEC facilities, the AP241 team re-used many modules from AP239, and developed various STEP Application Modules which are adapted from the ISO 15926.

Proposal of Process Model for Research Data Quality Management (연구데이터 품질관리를 위한 프로세스 모델 제안)

  • Na-eun Han
    • Journal of the Korean Society for information Management
    • /
    • v.40 no.1
    • /
    • pp.51-71
    • /
    • 2023
  • This study analyzed the government data quality management model, big data quality management model, and data lifecycle model for research data management, and analyzed the components common to each data quality management model. Those data quality management models are designed and proposed according to the lifecycle or based on the PDCA model according to the characteristics of target data, which is the object that performs quality management. And commonly, the components of planning, collection and construction, operation and utilization, and preservation and disposal are included. Based on this, the study proposed a process model for research data quality management, in particular, the research data quality management to be performed in a series of processes from collecting to servicing on a research data platform that provides services using research data as target data was discussed in the stages of planning, construction and operation, and utilization. This study has significance in providing knowledge based for research data quality management implementation methods.