• Journal of the Society of Disaster Information
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• v.9 no.2
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• pp.128-136
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• 2013

The current contractor for use in performance compared to the performance study of industrial byproducts. Due to the stagnation of the construction business and the rise of raw materials, the contractor of the cost savings and environmental issues, and present a variety of ways for research actively being. Through special about the compressive strength characteristics of the mixed concrete, carbonation resistance and chloride penetration resistance of this study, previous studies have been a lot of progress, industrial byproducts, fly ash and blast furnace slag concrete structures were applied to evaluate.

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.75-93
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• 2012

The steel cargoes as the core raw materials for the manufacturing industry have important roles for increasing the handling volume of the port. In particular, steel cargoes are fundamental to vitalize Port of Incheon because they have recognized as the primary key cargo items among the bulk cargoes. In this respect, the IPA(Incheon Port Authority) ambitiously developed the port complex facilities including dedicated terminals and its hinterland in northern part of Incheon. However, these complex area has suffered from low cargo handling records and has faced operational difficulties due to decreased net profits. In general, the import and export steel cargo volumes are sensitively fluctuated followed by internal and external economy index. There is a scant of research for forecasting the steel cargo volume in Incheon port which used in various economy index. To fill the research gap, the aim of this research is to predict the steel cargoes of Port of Incheon using the well established methodology i.e. System Dynamics. As a result, steel cargoes volume dealt with in Incheon port is forecasted from about 8 million tons to about 10 million tons during simulation duration (2011-2020). The Mean Absolute Percentage Error (MAPE) is measured as 0.0013 which verifies the model's accuracy.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.143-148
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• 2008

This study is VE LCC case analysis on two school BTL projects which is constructed by Private sector and rented to government. Then private sector payback their initial cost and profit by rental fee from government. The VE in Korea, revised by the method of the Construction Technique - Enforcement Ordinance in 2005 is applicable to construction business which size is over 10 billion won. The VE well known as a way of productivity elevation is already proven and outstanding management method In construction industry inside and outside of the courtly. As its unique personality of BTL business, VE workshop period is too short. There is a few accomplished BTL project and data base, because BTL business begun from year of 2006. So we are trying to proof effect of VE LCC through case study of school BTL projects.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.597-600
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• 2008

Recently, Several Mega project are been performing as a multi-dimensional development project in Korea, but some problem has been revealed about deficiency of the history, experience, and skill. A multi-dimensional development project require the technology which can manage mega project to its specific at the level of program management. predicting schedule and schedule management are the most important for mega project, been performing over several years. This research shows the method of predicting and planning schedule in the early stage as a pre-study on developing a technology of schedule management. First of all, it presents the development of database considering the specific of mega project that can accumulate the history of schedule and search the schedule according to the type of single and multi building. Also it suggests the method of prediction schedule by creating scenarios according to owner requirements and cash flow, affecting schedule management in the early stage, and the shortening possibility of schedule duration using CCPM theory.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.654-657
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• 2008

Recently, construction projects have become bigger and complicated and the construction business scale has enlarged. Therefore a project cost size is increasing. The historical data can be easily saved by advanced technologies of IT industries. Utilizing those make us to be able to manage construction project more effectively. These days, PMIS (Project Management Information System) has supplied widely at construction companies for integrating cooperation system of Web environment. and it is being used. However the most PMIS is limited at construction phase. Actually it isn't applied to a construction project Life-Cycle(planning, design, construction and maintenance). To control manage a construction project Life-Cycle effectively, BPMS (BIM-based PMIS Modeling) should be considered. This paper suggests the ways for applying BPMS.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.384-389
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• 2006

The needs for Light Railroad Transit(LRT) have been increased due to the heavy traffic congestions in large cities like Seoul, Korea. Korean government is seeking the LRT system development (including planning, designing, construction, and maintenance and operations) in terms of public-private-partnership (PPP). At the private sector side, it is crucial to estimate the life cycle cost (LCC) to project the cash flow during the O&M period. Since the most construction and O&M cost of LRT project is at the bridge construction, a cost analysis model and a cost breakdown structures (CBS) on LRT bridges are discussed through in depth literature reviews. Construction and maintenance cost of bridges are collected and analyzed. LCC is analyzed by types of bridge superstructures and historical data of repair and rehabilitation (R&R) is investigated. There have been scarce number of LCC analysis on railway bridges. This research delivers a well-defined CBS and maintenance cost data, which will be a great benefit to the systematic maintenance strategy development for railroad bridges.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.396-400
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• 2007

Various ways of automated guideway transit construction are being planned recently owing to the policies of the national government and local municipalities as well as increasing investment from the private sector. Particularly, the increase in the private investment is increasing greatly in SOC (Social Overhead Cost). This trend of promoting private sector investment must be conducted on the basis of a thorough analysis of the economic feasibility of the project from the government and construction companies in the private sector. In other words, an accurate cost analysis of initial investment cost (Construction cost), maintenance/repair cost, profit making through the operation of the concerned facilities, cost of dissolution, etc. in terms of the life cycle is very much in need. Nevertheless, the analysis of uncertainty factors and its probabilistic theory are in need of development so that they can be used in the analysis of the economic feasibility of a construction project. First of all, the actual studies on maintenance/repair cost of automated guideway transit are scarce as of yet, prohibiting an accurate computation of the cost and its economic analysis. Accordingly, this study focused on the uncertainty analysis of the economic feasibility for civil engineering structures among automated guideway transit construction projects based on the rapidly increasing investment on such structures from the private sector. For this research purpose, a cost classification system for the automated guideway transit is proposed, first of all, and the data On the cost cycle of the civil structure facilities and their unit cost are collected and analyzed. Then, the uncertainty in the cost is analyzed from the perspective of LCC. In consideration of the current status with almost no. studies on maintenance/repair of such facilities, it is expected that the cost classification system and the uncertainty analysis technique proposed in this study will greatly enhance LCC analysis and economic feasibility studies for automated guideway transit projects in the future.

• Communications for Statistical Applications and Methods
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• v.15 no.1
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• pp.105-115
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• 2008

Judgement post-stratification is a new sampling method developed by MacEachern et al. (2004). This article suggests that the judgement post-stratification method can be a good alternative for the simple random sampling when analyzing real-world environmental data. It becomes an important task to accurately measure the output of a recycling facility since the EPR (Extended Producer Responsibility) system takes effect on 2003. However, the total weight of materials processed in the recycling facility may not be a proper measure because the materials are frequently mingled with other non-recycling materials. Therefore, it is necessary to estimate the mixture ratio of non-recycling materials among the total materials admitted in the facility. Unfortunately, the size of sample in a recycling facility is restricted due to the inconvenience of sampling procedure such as safety, odor, time and classification of non-recycling materials. In this article, we showed the relative efficiency of the judgement post-stratification method over the simple random sampling method for equal sample sizes using Monte Carlo simulation. Furthermore, we applied the judgement post-stratification method on the 2004 recycling data and showed that it can replace the simple random sampling even with smaller observations.

• Korean Journal of Construction Engineering and Management
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• v.19 no.3
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• pp.61-69
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• 2018

The buildings are getting enormous and more complex as well as the requirement of the owner which wants diverse and efficient. Moreover advanced management is necessary for construction services and a new method of delivering project is now required. In order to expand the delivering method and the construction industry, we have to introduced the CM at Risk method. However, despite the fact that six years have passed already the CM at Risk regulation was introduced, the contract amount in significantly lower than that of the CM for fee, and also there is no CM at Risk project in the public sector. As a result, three pilot projects are currently underway for the LH(Korea Land & Housing Corporation) in order to set up a CM at Risk for the public sector. However, detailed regulations related to CM at Risk have not yet been implemented in Korea. Therefore, in this study, I am trying to understand the risks that could incur when practitioners participate in the three pilot projects that are currently underway and employed in the public sector wherein the CM at Risk is normally introduced. Based on the results of this study, It will be able to utilize as a basic data for future CM at Risk delivery system improvement and enactment.

• Land and Housing Review
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• v.2 no.4
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• pp.367-377
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• 2011

This paper investigates the determination factors' variation of real estate price after sub-prime financial crisis, in korea, using a VAR model. The model includes land price, housing price, housing rent (Jensei) price, which time period is from 2000:1Q to 2011:2Q and uses interest rate, real GDP, consumer price index, KOSPI, the number of housing construction, the amount of land sales and practices to impulse response and variance decomposition analysis. Data cover two sub-periods and divided by 2008:3Q that occurred the sub-prime crisis; one is a period of 2000:1Q to 2008:3Q, the other is based a period of 2000:1Q to 2011:2Q. As a result, Comparing sub-prime crisis before and after, land price come out that the influence of real GDP is expanding, but current interest rate's variation is weaken due to the stagnation of current economic status and housing construction market. Housing price is few influenced to interest rate and real GDP, but it is influenced its own variation or Jensei price's variation. According to the Jensei price's rapidly increasing in nowadays, housing price might be increasing a rising possibility. Jensei price is also weaken the influence of all economic index, housing price, comparing before sub-prime financial crisis and it is influenced its own variation the same housing price. As you know, real estate price is weakened market basic value factors such as, interest rate, real GDP, because it is influenced exogenous economic factors such as population structural changes. Economic participators, economic officials, consumer, construction supplyers need to access an accurate observation about current real estate market and economic status.