• Title/Summary/Keyword: 생애주기 분석

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A Study on Life Cycle Cost According to Bridge Condition (교량 상태에 따른 생애주기비용 영향 분석)

  • Park, Jun-Yong;Lee, Keesei
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.802-809
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    • 2021
  • To cope with the increasing maintenance costs due to aging, the maintenance cost was evaluated from the perspective of asset management. The maintenance cost can be predicted based on the condition of the bridge, and the life cycle cost is used as an index. In general, the condition of a bridge has a wide distribution characteristic depending on the deterioration, load, and material characteristics. In this paper, to evaluate the effect of the bridge conditions on the life cycle cost, condition prediction models were constructed considering the service life, deterioration rate, and inspection error, which are the main variables of the bridge condition and life cycle cost calculation. In addition, condition prediction models were constructed based on the distribution of the health index to estimate the upper and lower bounds of the life cycle costs that can occur in individual bridges. Life cycle cost analysis showed that the life cycle cost differed significantly according to the condition of the bridge. Accordingly, research will be needed to increase the reliability of predicting the life cycle cost of individual bridges.

Analysis of Pre-construction Processes and Development of KMS Prototype of LNG Plant Projects (해외 LNG Plant 프로젝트 초기 프로세스 분석 및 지식관리시스템 프로토타입 구축)

  • Won, Seo-Kyung;Lee, Jun-Bok;Han, Choong-Hee
    • Journal of the Korea Institute of Building Construction
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    • v.9 no.6
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    • pp.151-159
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    • 2009
  • Recently, overseas construction projects have been increasing in the Middle East and Southeast Asia regions. These projects require various licenses and technologies for the manufacturing and handling processes. Additionally, the efficiency of the entire process management life cycle determines the success or failure of the business. Nonetheless, there exist various risks involved in the whole life cycle process due to a lack of experience and knowledge of management techniques. The objective of this paper is to analyze the business process of a LNG plant throughout the pre-construction and procurement phases, and to identify the knowledge and information needed for the development of the KMS. The study also plans to build a comprehensive knowledge management system throughout the whole life cycle as its final objective.

A Systematic Literature Review of Data and Analysis Methods Used in HR Analytics Research (국내 HR Analytics 연구에서 활용한 데이터와 분석방법에 대한 체계적문헌고찰)

  • Chung, Jaesam;Cho, Yein;Yang, Hayeong;Jin, Myunghwa;Park, Hyosung;Lee, Jae Young
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.614-627
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    • 2022
  • The purpose of this study was to explore the various data and methods employed by HR analytics studies. The researchers selected 78 KCI-indexed empirical articles on HR analytics and categorized them using the Employee Life Cycle framework. This yielded several important findings. First, employee retention has been the most common subject of extant studies, followed by performance management. Second, HR analytics studies have used a variety of data (structured and unstructured) according to their research questions, and the data sources have ranged from organizations' internal systems to national databases. Third, most domestic HR analytics studies have been descriptive and diagnostic, whereas predictive and prescriptive studies have been rare. These results have important theoretical and practical implications for future HR analytics research.

The Analysis on the Characteristics of Residential Mobility by Life-Cycle (생애주기에 따른 주거이동 특성 분석)

  • Choi, Yeol;Kim, Young-Min;Cho, Seong-Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3D
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    • pp.313-321
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    • 2010
  • This study analysed the characteristics of residential mobility according to the household's life-cycle to observe the housing filtering process in Busan. The questionary subjects were adult 40 and over who inhabited in Busan and surveyed residential career about residential mobility. The analysis result of statistical data and result of questionary reveals similar result every articles, the summaries are as follows : Examining housing where the respondent live presently, apartment dominate absolutely high ratio as housing type and owner-occupation as housing tenure type, and housing size is about 30 pyeong, dwelling period is 6 years to 10 years. Saving and loan hold a large majority to make housing capital, that means, they apply housing finance to getting own housing despite it is impossible with present household's income to have owner-occupation of desired housing. This is different custom ours from foreign's that rent a house. However, as aspect of residential satisfaction, most household recognised that quality is improved, because residential mobility expanded housing size and changed tenure type and showed fairly high satisfaction with their present resident.

Study on the daily schedule after works analysis of process (건설공사의 사업 분석에 따른 일정계획)

  • Chun, Jin-Ku;Lim, Jong-Ah;Park, Young-Dae;Kim, Byeong-Soo
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.418-421
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    • 2006
  • 오늘날의 건설사업 환경은 차별화 ${\cdot}$ 정보화 ${\cdot}$ 특성화 ${\cdot}$ R&D등 지식과 기술 및 창의성을 바탕으로 한 창조적 결과물 생산으로의 요구를 확대하고 있다. 이러한 환경은 건설 사업을 수행하는 기술자 집단에게 사업수행의 미래 가치적 최적화를 위해 기획과 계획에서부터 시공과 유지관리 및 장기 지속가능성까지 보장하는 생애주기차원의 사업수행을 요구하는 것이기 때문에 사업의 타당성 분석에서부터 실시간 정보처리와 가치창조를 위한 사업수행 계획이 절대적이라 할 수 있다. 본 연구에서는 그동안 국내 사업일정계획에서 적용하고 있거나 적용할 필요성이 있는 사업단계와 단계별 업무영역을 구분하고, 정보화 운영관리 방안을 분석함으로서 국내 건설 환경에 적합하고 신뢰성을 보장 할 수 있는 일정계획을 수립할 수 있는 방향을 제시하고자 한다.

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Optimal Design of the PSC Beam Reinforcement for Minimum Life-Cycle Cost (최소생애주기비용을 위한 PSC보 보강의 최적설계)

  • Bang, Myung-Seok;Han, Sung-Ho
    • Journal of the Korean Society of Safety
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    • v.23 no.5
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    • pp.125-130
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    • 2008
  • To optimize the selected reinforcing method for application to PSC Beam bridges, the reliability analysis was performed with consideration for the increase and decrease of the member section based on the standard design section, and the minimum life-cycle cost(LCC) was calculated from this analysis with consideration for the aleatory uncertainty. Moreover, the mean, 50%, 75%, and 90% distributions of the analysis results were re-evaluated quantitatively by considering the effect of the epistemic uncertainty. The reliability results gained from the application of the reinforcing method, as well as the optimal design method based on the minimum LCC, will provide more reasonable design criteria for the PSC Beam bridges.

Study on Commuting Travel Time devided by Life Cycle: In Gyeonggi-Do Case (생애주기별 통근통행시간 영향요인 분석: 경기도를 중심으로)

  • Bin, Mi-Young;Chung, Eui-Seok;Park, Hyoung-Won
    • Journal of Korean Society of Transportation
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    • v.30 no.3
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    • pp.71-82
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    • 2012
  • This study analyzed factors affecting daily travel times at each stage of commuters' life cycle. In this study, travel times were dealt with in the context of trip chain. That is, the travel time was defined as the total amount of time commuters had spent to move for daily activities from leaving to coming back home. A commuter's life cycle was divided into 6 stages on a basis of both householder's age and family type: i.e., the unmarried youth period, the family forming period, the children education period, the children youth period, the children independence period, and the aged period. Variables such as commuting times, home-based trip cycle recurrences, and the number of stops differed for each stage of life cycle, the latter of which represents how many places a commuter dropped by during a trip cycle. Several factors were found to affect commuting times at each stage of life cycle as a result of applying a Cox proportional hazard model. The empirical study was conducted using 2010' household travel survey data collected from Gyeonggi-do.

Analysis of Hypertension Risk Factors by Life Cycle Based on Machine Learning (머신러닝 기반 생애주기별 고혈압 위험 요인 분석)

  • Kang, SeongAn;Kim, SoHui;Ryu, Min Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.73-82
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    • 2022
  • Chronic diseases such as hypertension require a differentiated approach according to age and life cycle. Chronic diseases such as hypertension require differentiated management according to the life cycle. It is also known that the cause of hypertension is a combination of various factors. This study uses machine learning prediction techniques to analyze various factors affecting hypertension by life cycle. To this end, a total of 35 variables were used through preprocessing and variable selection processes for the National Health and Nutrition Survey data of the Korea Centers for Disease Control and Prevention. As a result of the study, among the tree-based machine learning models, XGBoost was found to have high predictive performance in both middle and old age. Looking at the risk factors for hypertension by life cycle, individual characteristic factors, genetic factors, and nutritional intake factors were found to be risk factors for hypertension in the middle age, and nutritional intake factors, dietary factors, and lifestyle factors were derived as risk factors for hypertension. The results of this study are expected to be used as basic data useful for hypertension management by life cycle.

Evaluation of Life Cycle Energy Consumption and CO2 Emission of Elementary School of Buildings (초등학교 건축물의 생애주기 에너지사용량 및 이산화탄소 배출량 평가)

  • Ji, Changyoon;Hong, Taehoon;Jeong, Jaewook
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.3
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    • pp.52-60
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    • 2016
  • This study investigates and analyzes the total amount of energy consumption and $CO_2$ emission during the material manufacturing, transportation, construction, operation, and disposal phases of eight elementary school buildings in South Korea. Toward this ends, the hybrid LCA model is proposed. The life cycle energy consumption and $CO_2$ emission of eight case buildings are assessed using the hybrid LCA model with an assumption that the operation period is 40 years. As a result, the embodied(sum of the energy consumption in the material manufacturing, transportation and construction phases), operational and disposal energy were 2,279, 11,182, $228Mcal/m^2$, respectively, on average. The average embodied, operational, and disposal $CO_2$ emission were 604, 2,708, 60 kg-$CO_2/m^2$, respectively, on average. This result indicates that about 17% of life cycle energy (or $CO_2$ emission) is consumed in the material manufacturing, transportation and construction phases. Thus, it is necessary to consider the embodied energy and $CO_2$ emission to reduce the life cycle energy and $CO_2$ emission of school buildings. In addition, while the insulation standard of building have been provided based on the climate zone, energy consumption in operation phase still varied depending on the regions in this study. Thus, the insulation standard of building needs to be improved through considering the climate of regions in detail.

Recent Research Trends and Prospects of HR Analytics in Korea (HR 애널리틱스의 최근 연구 동향 및 향후 과제)

  • Jo, Hui-Jin;Ahn, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.442-452
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    • 2022
  • This study was conducted to understand research trends of HR Analytics (HRA) in Korea and to suggest future research directions. First, a comparative analysis was conducted by classifying six areas of recruitment on-board, work environment, performance evaluation, retention, and exit/retirement building on the employee life cycle framework. The results indicate that first, the distribution of detailed research topics in Korean HRA research has similar to that of international research. Second, Korean HRA studies related to employee training and development function are insufficient. Third, the scope and the method of machine learning are becoming enriched. Finally Korean HRA studies are still in the technical domain and toward entering the predictive analysis domain.