• 제목/요약/키워드: Plant Management

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형상관리와 국내외 원전 동향 (Configuration Management and Domestic and International nuclear power plant trends)

  • 고민혁;이대성
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 추계학술대회
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    • pp.351-353
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    • 2022
  • 국내와 국외를 통틀어서 현재까지 원전사고가 수차례 있었고 이로 인한 크고 작은 피해가 있었다. 해외는 이러한 사고를 줄이기 위해서 형상관리라는 기술을 도입하여 원전 운영에 대한 안전성과 신뢰성을 향상 시켜왔다. 본 논문에서는 형상관리에 관한 기본적인 정보와 국외 원전의 형상관리 도입 성공사례들을 통해서 국내에 적용 가능한 기술적 부분을 확인하고 이를 국내 원전에 맞게 보완하여 새로이 적용할 수 있는지를 알아본다.

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오일.가스 플랜트 산업의 경쟁력 강화를 위한 기술경영 도입방안 (The Application Scheme of Management of Technology for Strengthen the Competitiveness in Oil and Gas Plant Industry)

  • 송영웅;최윤기
    • 한국건설관리학회논문집
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    • 제8권1호
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    • pp.116-123
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    • 2007
  • 최근 오일 가스 플랜트 분야는 국제 유가의 상승, 에너지 수요의 증가로 인하여 프로젝트 발주가 증가하고 있으며, 중동지역과 전 세계 지역으로 시장규모가 증대되고 있다. 오일 가스 플랜트는 제조 및 처리공정과 기술개발에 따른 라이센스 관리 및 기술관리가 프로젝트의 성패에 중요한 사항이다. 오일 가스 플랜트의 경우 다수의 해외공사 수행 형태를 가지며 해외 선진 업체와의 경쟁이 더욱 중요하다. 이러한 시장에서 기술 경쟁력과 기술 우위를 확보하기 위해서는 기술개발에 따른 체계적인 경영 방식을 도입하여야 한다. 하지만 국내 오일 가스 플랜트 업체의 경우 해외 선진 업체보다 라이센스, 설계단계의 기술 경쟁력이 부족하며 '기술 투자 비용 대 효과를 최대화' 하는 요소기술의 기술경영 도입이 어려운 현실이다. 이는 기술개발 및 관리의 인식 부족과 연구개발 인프라 구축에 따른 부담이 커서 장기적인 기술전략이 부족하기 때문이다. 따라서 본 연구에서는 오일 가스 플랜트 산업의 대외 경쟁력 확보를 위한 기술경영 도입방안을 분석함으로서 중장기적 기술개발 지원과 기술경영 도입방안을 제시하였다.

LNG 플랜트 사업관리 요소 도출 및 중요도 평가 (Elicitation Project Management Factors and Evaluation of its Weight to Ensure LNG Plant Success)

  • 한재구;진경호;박환표
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2010년도 춘계 학술논문 발표대회 2부
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    • pp.85-89
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    • 2010
  • The propose of this research is derive project management factors and evaluate its decision weight in LNG plant EPC phases. In order to research, we studied the demestic and international research trend and analysed expert opinions. Initially we derived nine project management factors in each phase of EPC. Elicited factors in research are project management, design management, cost management, time management, contract and craim management, safety management, environment management, and risk management. Then, we evaluated the weight of project management factors with expert survey method and elicitated. Finally, The remarkable points in the result are that key management factors of EPC project are project management and risk management.

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플랜트 프로젝트에서의 설계시간 관리 기법 개선 방안에 관한 연구 (Improved Scheme to Manage Engineering Man-hour in a Plant Project)

  • 신지로;문승재;이재헌
    • 플랜트 저널
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    • 제5권1호
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    • pp.51-59
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    • 2009
  • The global plant construction market has grown dramatically since 2000. As the market grows, domestic EPC contractors are expanding to meet its needs and have made great strides in terms of economic indicators from a decade ago. Larger projects involve a number of risk factors, such as volatile oil prices, however, and thus require quantitative and elaborate project management techniques for the ultimate success of a project's profitability. In addition, many Korean companies face difficulties in predicting potential risks and problems due to a lack of experience in dealing with the global market trend toward projects based on the Cost-re(Cost Reimbursable) contract as opposed to those based on the LSTK(Lumpsum Turnkey) contract. This study will examine methods and types of man-hour management according to plant project contract types. Further, it will explore the man-hour management system for successful completion of projects by satisfying the client's needs and enhancing the convenience in engineers' using the system. Additionally, this study will analyze the current system and identify its problems to address potential problems.

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BIM기반 화력발전시설 유지관리를 위한 EBS(Elements Breakdown Structure)개발 (EBS for BIM based maintenance management of Thermal Power Plant)

  • 김창수;차상훈;지성민
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2015년도 추계 학술논문 발표대회
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    • pp.81-82
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    • 2015
  • BIM has been a reliable construction project management tool to handle various kinds of construction information generated in the facility life cycle. To take these advantages, researchers have been promoted numerous studies in a residential, a commercial, and an educational facilities with a large number of on-going projects. However, despite running as the role of essential energy supplier, power plant related BIM research is relatively insufficient than others. In particular, due to the extending of the facility service period and the requirement of the complicated construction project management for 'overhaul' and 'repowering' in the power plant maintenance phase, the needs for using BIM have been increased gradually. For using BIM based maintenance, it is needed to consider an information collecting methods and necessary to develop an appropriate breakdown structure to share information. Therefore, 'EBS' is produced by reviewing the previous research related to BIM and analyzing the repair activities in the maintenance phase. Proposed 'EBS' must be useful not only a judgment between capital expenditure versus revenue expenditure but also appropriate maintenance strategies development for property management.

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APPLICATION OF MULTIVARIATE DISCRIMINANT ANALYSIS FOR CLASSIFYING PROFICIENCY OF EQUIPMENT OPERATORS

  • Ruel R. Cabahug;Ruth Guinita-Cabahug;David J. Edwards
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.662-666
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    • 2005
  • Using data gathered from expert opinion of plant and equipment professionals; this paper presents the key variables that may constitute a maintenance proficient plant operator. The Multivariate Discriminant Analysis (MDA) was applied to generate data and was tested for sensitivity analysis. Results showed that the MDA model was able to classify plant operators' proficiency at 94.10 percent accuracy and determined nine (9) key variables of a maintenance proficient plant operator. The key variables included: i) number of years of experience as equipment operator (PQ1); ii) eye-hand coordination (PQ9); iii) eye-hand-foot coordination (PQ10); iv) planning skills (TE16); v) pay/wage (MQ1); vi) work satisfaction (MQ4); vii) operator responsibilities as defined by management (MF1); viii) clear management policies (MF4); and ix) management pay scheme (MF5). The classification procedure of nine variables formed the general model with the equation viz: OMP (general) = 0.516PQ1 + 0.309PQ9 + 0.557PQ10 + 0.831TE16 + 0.8MQ1 + 0.0216MQ4 + 0.136MF1 + 0.28MF4 + 0.332MF5 - 4.387

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Role of litter production and its decomposition, and factors affecting the processes in a tropical forest ecosystem: a review

  • Giweta, Mekonnen
    • Journal of Ecology and Environment
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    • 제44권2호
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    • pp.81-89
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    • 2020
  • In the forest ecosystems, litterfall is an important component of the nutrient cycle that regulates the accumulation of soil organic matter (SOM), the input and output of the nutrients, nutrient replenishment, biodiversity conservation, and other ecosystem functions. Therefore, a profound understanding of the major processes (litterfall production and its decomposition rate) in the cycle is vital for sustainable forest management (SFM). Despite these facts, there is still a limited knowledge in tropical forest ecosystems, and further researches are highly needed. This shortfall of research-based knowledge, especially in tropical forest ecosystems, may be a contributing factor to the lack of understanding of the role of plant litter in the forest ecosystem function for sustainable forest management, particularly in the tropical forest landscapes. Therefore, in this paper, I review the role of plant litter in tropical forest ecosystems with the aims of assessing the importance of plant litter in forest ecosystems for the biogeochemical cycle. Then, the major factors that affect the plant litter production and decomposition were identified, which could direct and contribute to future research. The small set of studies reviewed in this paper demonstrated the potential of plant litter to improve the biogeochemical cycle and nutrients in the forest ecosystems. However, further researches are needed particularly on the effect of species, forest structures, seasons, and climate factors on the plant litter production and decomposition in various types of forest ecosystems.

Medicinal plants used in the management of diabetes by traditional healers of Narok County, Kenya

  • Kamau, Loice Njeri;Mbaabu, Peter Mathiu;Karuri, Peter Gathumbi;Mbaria, James Mucunu;Kiama, Stephen Gitahi
    • 셀메드
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    • 제7권2호
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    • pp.10.1-10.10
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    • 2017
  • The Maasai community from Kenya is highly esteemed for their strong adherence to traditional cultures and ethno medicine. This is attributed to their age-old traditional mechanisms of passing down knowledge to the younger generation. Adoption to new socio-economic lifestyle and urbanization has been associated with development of diabetes, which has been reported among some indigenous pastoral communities in Kenya. Documentation of traditional methods of treatment and management of diabetes by the Maasai has not yet been reported, yet it is noteworthy. Thirty traditional healers from Narok County were purposively selected and interviewed about traditional knowledge of antidiabetic medicinal plants, parts used, preparation dosage and administration. A total of 14 antidiabetic plant species distributed within 13 genera and 12 families were identified and documented as herbal medicine used in the management of diabetes. The most highly cited plant species was Dovyalis abyssinica (20%), the plant family Flacourtiaceae and Rhamnaceae (2 plant species each) recorded the highest number of plant species while the most frequently used plant part was the roots (46%). Literature review revealed that some of the cited plants have known phytochemicals with antidiabetic activity; the study recommends further scientific investigation to validate their efficacy and safety.

The application of machine learning for the prognostics and health management of control element drive system

  • Oluwasegun, Adebena;Jung, Jae-Cheon
    • Nuclear Engineering and Technology
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    • 제52권10호
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    • pp.2262-2273
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    • 2020
  • Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.