• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.329-334
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• 2004

The objective of this study regards the preceding condition of the construction disposal of waste which is appropriate, with occurrence quantity DB anger the occurrence quantity prediction which is accurate the regression model which it sees and with the method which is mote accurate prediction method of existing than to sleep it presents it does. This study acquires apartment results data of public construction and civil construction, and chose factor that exert biggest influence on the waste occurrence amount through question and interview memorial address by regression model variable. And presented regression mode] which uses statistics program named SPSS. Result of this study by regression model through constant results data DB anger existent error big experience than estimate method that corrector estimation is available show.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.195-204
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• 2005

The construction failures can be decreased by continuously improving the construction process based upon the information of construction failures. Herein, the information of construction failures can be utilized as the key factor far identifying the ineffective process and providing the improved construction process that can prevent failures. The objective of this research is to suggest a model for improving construction process continuously by using the information of construction failures. An extended review and analysis of literatures related to the construction failure are performed to investigate the definition, type, cause, and lesson teamed of failure. This research also identifies that process modeling methodology and case-based reasoning are applicable to the construction process improvement, and then it suggests a framework of CIMCP(continuous improvement model of construction process based on the module of case-based reasoning such as case retrieval, case index, and case adaptation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.115-116
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• 2016

Numerous of free-form buildings come up with external appearances using various types of free-form panels. If the panel types produced, transport and installation order and maintenance history are not properly managed, it is difficult to complete a given project successfully. For free-form building projects that satisfy 5 factors (proper time, place, price, product and quantity), a supply chain management technique is applied for distribution management of free-form concrete panels. In addition, the study listed the whole production process of free-form concrete panels and any necessary information, and suggested a basic model for the management. The study result will be a great help in effective distribution management of free-form panels for free-form building projects.

• Journal of The Korean Digital Architecture Interior Association
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• v.9 no.3
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• pp.69-76
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• 2009

The importance of efficient construction site management has been growing as the amount of construction information increases which is used in the growing construction site. Accordingly in this study, we are trying to find out the application situation and possibility of BIM through theoretical examination and domestic & overseas case study of BIM and we are trying to suggest the way of efficient construction site management formulation through implementation phase-oriented and cooperation entity-oriented analysis in the construction site. We found out that it was possible to minimize time loss and financial loss by visualizing 2D drawings through 3D modeling of target building by applying BIM and that it was possible to improve accuracy of budget planning with quantitative information of 3D model, to plan construction process with more confidence due to accurate architectural information of drawings and quantitative information, and to manage cost and quality through process management based on construction information acquired by BIM including object information by part. It is concluded that we can improve efficiency of construction management between field and each cooperating entity by integrating and linking BIM information through this process.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.5D
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• pp.453-461
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• 2012

Life analysis is conducted for economic analysis of equipment or facilities. The purpose of life analysis is to predict future indicators for scrapping construction equipment, and establish and utilize a wide variety of business strategies according to data predictions. First, this study shows the methods to figure out average life, life expectancy and life prediction of construction equipment and the analysis of life making methods, using survival curves. Second, the study proposes and examines the life expectancy making model depending on revenues and expenses. The result of the study reveals that the economic life of the same equipment varies with expenses, revenues and the initial cost. The life expectancy making model for construction equipment reflects respective management status for equipment and will help efficient management for companies.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.472-475
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• 2004

The objective of this study is to develope reasonably accurate prediction models to assess hoisting times of tower cranes in the high-rise building construction. The efficient use of the tower crane is critical to achieving the Planned floor cycle time. This research describes the derivation of mathematical models to predict the hoisting times in using a tower crane. 28 factors such as nature of load, characteristics of tower cranes, hoisting movements, operation of cranes, weather conditions and so on is considered to influence hoisting times. In order to develop the predicting hoisting times Correctly, it is divided hoisting upward and downward. Then multiple regression models for predicting supply and return hoisting times have been built up separately.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.83-90
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• 2002

Actual construction data are unsystematically handled and uselessly hoarded after completion of the project although actual construction data can be applied to the various works of the future projects. Many researches have been carried out by several engineers and scholars of construction firms and research institutes, but the level of the application is not plausible yet. The objective of this paper is to propose a web-based data model and application system for commercial buildings in order to enhance the usability of the actual construction data on line. The principal factors of commercial building project data and the user$^{\circ}{\phi}s$ requirements in various areas, such as planning, design, procurement and construction and so on are analyzed to implement the database structure of the proposed system. The application of resource Information focused on cost, manpower, equipment is included in the system, which is expected to enhances the usability of actual database application system compared with other researches proposed so far.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.201-211
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• 2003

Considering about construction projects characteristics, there Is an existing uncertainty which causes inaccuracy or invalidity under decision making situation. Therefore, cost risk analysis of numerous construction projects are Inclined to depend on expert's experiences and subjective judgements. In Korean domestic construction works, however, there is no reasonable method or process for applying subjective elements. Only probabilistic analysis using objective calculation are being used now. This research suggests a cost risk analysis method to analyze quantitatively Cost Impact by risk, and it appraises expert's subjective elements for the purpose of enhancing validity of cost estimation. Moreover, a new cost risk analysis method is introduced for providing convenient user interface in practical business.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.131-139
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• 2011

In this Study, the Cost of Public Facility Construction in the VE Cost Model, and the Progress of the Construction Site Management, and Cost due to the Lack of Cpatial Information in Dispute Cost Work Type Recognize the limits of Historical Information, and to Overcome the Perception of Cost and Space Systems Unit In the Process of Transition that Began Seeking Ways to Improve Through this Study, Different Parts of the Proposed Area of Construction Work Unit System, the Core of Calculating Hourly and Detailed Engineering Information and Cost Information Generated Extension to Configure the Construction Unit in Every Space, Every Work Unit System, All Materials That Make Up Work Unit System, Unit Labor Costs, And All of the Configuration Items Enables Precise And Multidimensional Understanding is That.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.111-120
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• 2011

High-rise buildings have recently increased over the residential, commercial and office facilities, thus an understanding of construction cost for high-rise building projects has been a fundamental issue due to enormous construction cost as well as unpredictable market conditions and fluctuations in the rate of inflation by long-term construction periods of high-rise projects. Especially, recent violent fluctuations of construction material prices add to problems in construction cost forecasting. This research, therefore, develops a time-series model with the Box-Jenkins methodologies and material prices time-series data in Korea in order to forecast future trends of unit prices of required materials. BIM (Building Information Modeling) approaches are also used to analyze injection time of construction resources and to conduct quantity takeoff so that total material price can be forecasted. Comparative analysis of Predictability of tentative ARIMA (Autoregressive Integrated Moving Average) models was conducted to determine optimal time-series model for forecasting future price trends. Proposed BIM based time series forecasting model can help to deal with sudden changes in economic conditions by estimating future material prices.