• Title/Summary/Keyword: Life cycle history management

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Introduction of Program Life-Cycle Management System for Space Launch System Development (우주 발사 시스템 개발을 위한 통합 기술관리 시스템 소개)

  • Joh, Miok;Shin, Myoung Ho
    • Journal of the Korean Society of Systems Engineering
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    • v.2 no.1
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    • pp.48-53
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    • 2006
  • A web-based program life-cycle management(PLM) system is introduced to implement the system engineering processes and to provide the development traceability online. This information system aims for the realization of essential system engineering management techniques currently applied to the space launch system development program including management of configuration and data based on the work breakdown structure(WBS), WBS, bill of materials and mass properties. The system enhances communication and gives access to the development data with relevant information such as data-to-data relation and approval status/history through the web, and preserve all of the development data throughout the program life-cycle. Further improvement of the system is planned to implement the program management processes and co provide integrated information useful for the programmatic decision making.

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Fuel Consumption Prediction and Life Cycle History Management System Using Historical Data of Agricultural Machinery

  • Jung Seung Lee;Soo Kyung Kim
    • Journal of Information Technology Applications and Management
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    • v.29 no.5
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    • pp.27-37
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    • 2022
  • This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.

Introduction of Program Life-Cycle Management System for Space Launch System Development (우주발사 시스템 개발을 위한 통합 기술관리 시스템 소개)

  • Jo, Mi-Ok;Jo, Cheol-Hun;Lee, Jun-Ho;O, Beom-Seok;Park, Jeong-Ju;Jo, Gwang-Rae
    • 시스템엔지니어링워크숍
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    • s.4
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    • pp.86-89
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    • 2004
  • A web-based program life-cycle management(PLM) system is introduced to implement the system engineering processes and to provide the development teaceability online. This information system aims for the realization of essential system engineering management techniques currently applied to the space launch system development program including management of configuration and data based on the work breakdown structure(WBS), WBS, bill of materials and properties. The system enhances communication and gives access to the development data with relevant information such as data-to-data relation and approval status/history through the web, and preserve all of the development data throughout the program life-cycle. Further improvement of the system is planned to implement the program managrment pricesses and to provide integrated information useful for the programmatic decision making.

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The Establishment and Improvement of Full Cycle History Management System for Low- and Intermediate-level Radioactive Waste (중저준위 방사성폐기물 전주기 이력관리체계 구축 및 개선)

  • Jin-Woo Lee;Jun Lee;Hee-Chul Eun;Ji-Young Jeong
    • Journal of Radiation Industry
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    • v.18 no.1
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    • pp.95-100
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    • 2024
  • To establish a radioactive waste life cycle history management system, a series of processes including waste generation, classification, packaging, storage, transportation, and disposal were reflected in the information management system. A preliminary review process was introduced to reduce the amount of radioactive waste generated and manage it efficiently. Through this, the amount of radioactive waste generated must be checked from the beginning of the research, and the generated radioactive waste must be thoroughly managed from the stage of generation to final disposal. In particular, in the case of radioactive waste data generated during nuclear facility operation and each experiment, a radioactive waste information management system must be operated to receive information from the waste generator and integrate it with processing information at the management stage. The application process for small-package containers was reflected so that information such as the generation facility of radioactive waste, generation facility, project information, types of radioactive waste, major radionuclides, etc. In the radioactive waste management process, the preceding steps are to receive waste history from the waste generators. This includes an application for a specified container with a QR label, pre-inspection, and management request. Next, the succeeding steps consist of repackaging, treatment, characterization, and evaluating the suitability of disposal, for a process to transparently manage radioactive wastes.

Development of Uncertainty-Based Life-Cycle Cost System for Railroad Bridges (불확실성을 고려한 철도 교량의 LCC분석 시스템 개발)

  • Cho, Choong-Yuen;Sun, Jong-Wan;Kim, Lee-Hyeon;Cho, Hyo-Nam
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1158-1164
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    • 2007
  • Recently, the demand on the practical application of life-cycle cost effectiveness for design and rehabilitation of civil infrastructure is rapidly growing unprecedentedly in civil engineering practice. Accordingly, it is expected that the life-cycle cost in the 21st century will become a new paradigm for all engineering decision problems in practice. However, in spite of impressive progress in the researches on the LCC, so far, most researches in Koreahave only focused on roadway bridges, which are not applicable to railway bridges. Thus, this paper presents the formulation models and methods for uncertainty-based LCCA for railroad bridges consideringboth objective statistical data available in the agency database of railroad bridges management and subjective data obtained form interviews with experts of the railway agency, which are used to anew uncertainty-based expected maintenance/repair costs including lifetime indirect costs. For reliable assessment of the life-cycle maintenance/repair costs, statistical analysis considering maintenance history data and survey data including the subjective judgments of railway experts on maintenance/management of railroad bridges, are performed to categorize critical maintenance items and associated expected costs and uncertainty-based deterioration models are developed. Finally, the formulation for simulation-based LCC analysis of railway bridges with uncertainty-based deterioration models are applied to the design-decision problem, which is to select an optimal bridge type having minimum Life-Cycle cost among various railway bridges types such as steel plate girder bridge, and prestressed concrete girder bridge in the basic design phase.

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Study on Optimal LCC Considering Asset Management Through Maintenance-Period Analysis about Railway Truss Bridge (철도트러스 교량의 유지보수주기분석을 통한 자산관리 차원의 최적LCC에 관한 연구)

  • Kim, Tae-Hee;Park, Mi-Yun;Moon, Jae-Woo
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.1350-1358
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    • 2008
  • Recently the study related to life cycle cost analysis of railway structure consisted of a complex is proceeded covering several range, which is considering the methodology of efficiency and rationalization for maintenance and analysing long-time behavior of the structure of looking at standpoint from asset management and safety. But LCCA(life cycle cost analysis) of railway structure was almost impossible as there were not anything datum for maintenance plan, such as maintenance periods related to each of components(painting and corrosion of steel, and cracking of elements, etc)and maintenance proportion, despite of its 100-year history. According, for collecting data related to railway truss bridge, bridge record cards and testing safety papers, and researching question, etc are surveyed and classified for LCC Analysis. Especially, LCC assessment on the side of assets-maintenance considering about initial cost, maintenance cost, and indirect cost is constructed. Maintenance period and complementary measure rate are very important in maintenance. To decide maintenance period, Baysian updating method is applied.

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Software Reliability Model for the Stopping Rule (시험 중단 시점에 관한 소프트웨어 신뢰도 모델)

  • Moon, Sug-Kyung
    • Journal of Korean Society for Quality Management
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    • v.22 no.2
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    • pp.33-40
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    • 1994
  • Most software reliability models and other methods attempt to estimate some measures based on its fault history. There are several phases of the software life cycle including testing phase. We can propose it's stopping rule to decide when to stop the testing and pass it on to the next phase by considering the detailed structure of software and calculating the failure rate when each fault was detected. Downs (1985) proposed a method which was developed for estimating the failure rate applicable only to two-level profiles. In this paper, I extended to profiles involving more levels.

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Optimum Management Plan of the HVAC Equipments with LCC Analysis (LCC 분석을 통한 공기조화 열원설비의 최적 관리방안)

  • Kim, Yong-Ki;Woo, Nam-Sub;Kang, Sung-Ju;Lee, Tae-Won
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.8
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    • pp.556-562
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    • 2008
  • The building HVAC systems have very different qualities of performance and durability with the superintendent's ability for management and maintenance. The poor management of these systems finally lead to the shortening of the life expectancy and result in the increase of operating costs and energy consumptions due to low efficiencies. This study presents an example of appropriate use of the LCC(Life Cycle Cost) analysis in a process of maintaining and repairing old HVAC equipments, by demonstrating the difference of optimal economic life, decrease of running cost, and energy consumption according to the management level of the HVAC equipments. But there are no reliable life expectancy and performance history data at present for optimal management of various building service equipments. Therefore, it is necessary to construct long-term database on operation results of them for more accurate and optimized LCC analysis.

Life-cycle cost optimization of steel moment-frame structures: performance-based seismic design approach

  • Kaveh, A.;Kalateh-Ahani, M.;Fahimi-Farzam, M.
    • Earthquakes and Structures
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    • v.7 no.3
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    • pp.271-294
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    • 2014
  • In recent years, along with the advances made in performance-based design optimization, the need for fast calculation of response parameters in dynamic analysis procedures has become an important issue. The main problem in this field is the extremely high computational demand of time-history analyses which may convert the solution algorithm to illogical ones. Two simplifying strategies have shown to be very effective in tackling this problem; first, simplified nonlinear modeling investigating minimum level of structural modeling sophistication, second, wavelet analysis of earthquake records decreasing the number of acceleration points involved in time-history loading. In this paper, we try to develop an efficient framework, using both strategies, to solve the performance-based multi-objective optimal design problem considering the initial cost and the seismic damage cost of steel moment-frame structures. The non-dominated sorting genetic algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. The constraints of the optimization problem are considered in accordance with Federal Emergency Management Agency (FEMA) recommended design specifications. The results from numerical application of the proposed framework demonstrate the capabilities of the framework in solving the present multi-objective optimization problem.

Han-ok Construction Simulation based on Environmental Analysis (환경분석기반 한옥 시공 시뮬레이션에 관한 연구)

  • Kim, Mi-Kyoung;Jun, Han-Jong
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.4
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    • pp.292-299
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    • 2011
  • Han-ok has a long history and cultural traditions. It has green and healthy and culture but high construction costs, thermal insulation performance of residential and vulnerable to fires and have a weakness for maintenance. However, modernized resident housing, Han-ok is required to improve in terms of environmental aspect due to its weakness for insulating and inconvenience for modem era. Also Han-Ok's building is criticized as a huge dependence on subjective building experiences. This is pointed to be the biggest problem, Han-ok has. Traditionally it does not have a scientific and specific manual for construction. In this research, process simulation was adopted to develop Han-Ok's environmental improvements. In terms of LCC (Life Cycle Cost) aspect, however, Han-Ok's environmental characteristics are examined to suggest an appropriate Han-Ok construction method. Also the result of this research would be utilized to base the information database for efficient constructing and its management in new Han-Ok constructing industry.