• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.192-200
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• 2003

The object of this research is to develop a computerized algorithm of cost estimation method to forecast the total construction cost in the bidding stage by the historical and elemental work cost data. Traditional cost models to prepare Bill of Quantities in the korea construction industry since 1970 are not helpful to forecast the project total cost in the bidding stage because the BOQ is always constant data according to the design factors of a particular project. On the contrary, statistical models can provide cost quicker and more reliable than traditional ones if the collected cost data are sufficient enough to analyze the trends of the variables. The estimation system considers non-deterministic methods which referred to as the 'Monte Carlo simulation. The method interprets cost data to generate a probabilistic distribution for total costs from the deficient elemental experience cost distribution.

• Industry Promotion Research
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• v.6 no.3
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• pp.1-8
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• 2021

This study is about the current status of management performance and employment prospects during the COVID-19 period, and the analysis data are based on the Q3 and Q4 2020 economic survey of manufacturing industry provided by the National Statistical Office's Microdata Integrated Service Portal. It used 83 large companies and 435 small and medium-sized businesses as analysis data. The analysis results are summarized as follows. It was analyzed that there was little change in business performance by company size on creation of jobs. In the analysis of the economic outlook for 2021, sales of large companies were analyzed to increase, but there was little change in creation of jobs at 66.3%. In terms of sales, small and medium-sized businesses are expected to see little change at 31.3% and increase at 30.3%. Therefore, it can be seen that there is no change in the company's management performance during the COVID-19 period. In other words, it can be seen that the COVID-19 pandemic does not have a significant impact on manufacturing employment and management performance of large and small businesses.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.143_144
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• 2009

본 논문은 우리나라 전력계통의 345kV 변전소에 대한 전압운영기준을 제시하여 준다. 전압운영기준을 개발하기 위해 2차 전압제어이론을 적용하였고, 지역구분을 위해서는 CESI 알고리즘을 사용하였다. 본 검토에 사용된 계통검토용 PSS/E 기본파일은 실계통 운전실적 데이터를 사용하였고, 지역별 대표모선에 대한 기준전압은 최적조류계산을 사용하여 계산하였다. 각 제어지역별 전압범위와 제어기준들은 다양한 조건하에서의 EMS 운전실적 데이터 분석을 통해 제시되었다.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.181-192
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• 2005

Labor work information can be converted into the useful construction information in an effort to analyze project status, measure performance, and design a new similar project plan. The labor work information can also be used to make productivity data, which can be used to analyze the relationship between 'as planned' and 'as built' in scheduling management of a project, and to calculate 'percent completion' as well as analyzing delay cause. It is require to effectively collect the labor work information base on the activities. In general, current project management heavily depends on the experience and judgment of project managers, according to the work progress. However, relying on the oかy experience and judgment of the project managers might deteriorate the transparency or reliability of the collected labor work information. The purpose of this research is thus to develop a computer-based system for monitoring the work information generated by labors input in activities using PDA and Barcode technologies, and to propose a application method of the productivity data for effective project management.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.75-80
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• 2010

With the intensifying of price competition and structural diversifications, the uncertainty of the domestic housing market has been increased. This highlights the importance of the planning stage of construction projects, and the increased need for a higher level of accuracy in approximate estimates. Currently, a number of research and development programs to calculate construction cost at the initial planning stage are being conducted. However, there are few cases in which local characteristics are considered in deriving the results. If local calibration can be conducted during estimates, more accurate cost estimates will be enabled. This could also play a major role in ensuring the success of a project. Therefore, the purpose of this research is to develop a calculation methodology and a model for a local index based on the historical data of public apartment buildings, and to derive a local index that supports accurate construction cost estimates.

• Proceedings of the KIEE Conference
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• 2005.11c
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• pp.35-38
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• 2005

• Journal of the Korean Society for information Management
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• v.16 no.1
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• pp.137-156
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• 1999

The DIALOG's SCISearch database was searched, and the number of SCI Korean medical papers in each medical specialty was measured by document type and by publication year for the 1990-1995 period. The growth of SCI Korean medical papers was examined during this period. The percentage contribution of Korean medical papers to SCI database. and the SCI(mainstream) publication productivity ratio were analyzed for each medical specialty. The data obtained in this study for the early 1990s was compared with the data representing the 1980s. In addition, the fame research methodology was applied to the SCI Korean chemistry papers, and the result was compared with medicine. The purpose of these analysis is to investigate the extent and growth of mainstream publication activity of Korean medicine.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.428-433
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• 2001

Commercial buildings are the mostly common ones to be constructed along with residential buildings. After economic inflation, So-called 'IMF era', construction market has been running low because of stagnancy of business activities and cost escalation, Thus the construction industry needs a study of higher productivity by means of using information infrastructure. To deliver a database of commercial buildings construction record, their major management has carried out analysis for database components, in an attempt to meet users' needs. The scheme study of application presented cost and resource in construction lifecycle.

• Korean Journal of Construction Engineering and Management
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• v.7 no.3 s.31
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• pp.149-158
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• 2006

For construction projects, it is required to estimate the Environmental Management Cost(EMC) for pollution prevention, using the calculation standards prescribed in the Construction Technology Management Law(CTML). However, the EMC standards are difficult to utilize without definite site information. Therefore, it is needed a new calculation method reflecting project site information. According to the definition of EMC in the CTML, this study identifies the EMC items and classifies them into the pollution types such as air, water, noise, waste and others. With this EMC classification, the stud:』 analyzes using the SPSS the EMC for the 78 new multi-housing projects, which were executed during the past three years, 2000-2002. And then an EMC estimating matrix is developed with simple information such as site location and size of area from historical data. The proposed matrix can be effectively used to check and control budgeting and estimating the EMC of the multi-housing projects. In addition, the proposed EMC matrix are validated through a case study.

• Journal of Energy Engineering
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• v.17 no.1
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• pp.31-37
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• 2008

At present, the target amount of demand-side management and investment cost of EE (Energy Efficiency) program, which consists of high-efficiency appliances, has been estimated simply by the diffusion function based on the real historical data in the past or last year. In the internal and external condition, the penetration amount of each appliance has been estimated by Bass diffusion model which is expressed by time and three coefficients. And enough acquisition of real historical data is necessary for reasonable estimation of coefficients. In energy efficiency, to estimate the target amount of demand-side management, the penetration amount of each appliance should be primarily forecasted by Bass diffusion model in Korea. On going programs, however, lightings, inverters, vending machine and motors have a insufficient real historical data which is a essential condition to forecast the penetration amount using a Bass diffusion model due to the short period of program progress. In other words, the forecast of penetration amount may not be exact, so that it is necessary for the method of forecast to apply improvement of method. In this paper, the penetration amount of high-efficiency appliances is forecasted by Bass, virtual Bass, Logistic and Lawrence & Lawton diffusion models to analyze the diffusion progress. And also, by statistic standards, each penetration is compared with historical data for model suitability by characteristic of each appliance. Based on the these result, in the forecast of penetration amount by diffusion model, the reason for error occurrence caused by simple application of diffusion model and preferences of each diffusion model far a characteristic of data are analyzed.