• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.199-202
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• 2009

Turn-key and CMF(CM for Fee) have been selected as procurement paths of large public projects in Korea. However, recently, researches and discussions on CMR(CM at Risk) have been popular as the Korean government seeks for alternative procurement paths to enhance the performance. In the CMR projects, the part who is responsible for construction management should predict and control the potential risks for guaranteeing benefits. In this research, CMR projects in which a general contractor plays the role as CMr is mainly analyzed. We give attentions to risk management during construction process given that subcontractors, main parts in this phase, work in various ways and thus more chances for faults exist. In this case, CMr manages risks to control the procedure of project. So, potential risk factors can constitute the database, and that database can be matched to following activity. And construction manager can forecast measures of risk using the result of matching. This chain of activities increase efficiency in roles of CMr on CMR(CM at Risk). Furthermore this study will propose one of the solution of Construction Management Module.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.53-62
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• 2000

This study proposes FREES(Fuzzy Risk Evaluation Expert System) for analyzing and evaluating risks occurring during the construction process. The feasibility of this system model was tested by virtual scenario. For the development of the model, at first, risk breakdown structure was established based on risks identified in the existing researches, that is quantitative and qualitative. FREES can reflect human cognition process in the risk analysis and evaluation by adopting artificial intelligence fuzzy theory, differentiating the existing quantitative analysis model. The FREES can be applied to all the project phases from planning to operation & maintenance stage.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.67-84
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• 2015

Software is more diverse and complex and the level of importance for the maintenance of application software to securely operate software is also gradually increasing in proportion. The calculation method for maintenance cost of application software applied in Korea public enterprises is involved in the range of 10 to 15% of development cost, depending on the Software Project Cost Estimation Guide. Moreover, as most software maintenance cost estimation procedures do not take into consideration of the risk factors related of maintenance, it can be seen as a main cause for the occurrence of maintenance related accidents. This study proposes a maintenance cost estimate model that takes into consideration of the risks related to the software maintenance activities to improve and resolve issues arising from the estimation of maintenance cost. In doing so, maintenance risk factors are analyzed and a risk index is derived through the analysis of risk levels based on the risk factors. Based on such analysis, a maintenance cost estimate method which reflects the maintenance risk index was established.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1260-1265
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• 2009

Topographical features in South Korea is characterized that 70% of territory is composed of the mountains that can experience intense rainfall during storms in the summer and autumn. Efficient planning and management of landscape becomes utmost important since the cutting slopes in the mountain areas have been increased due to the limited construction areas for the roadway and residential development. This paper proposed an efficient way of slope management for the landslide risk by developing Web-GIS landslide risk management system. By deploying the Logistic Regression Analysis, the system could increase the prediction accuracy that the landslide disaster might be occurred. High resolution survey technology using GPS and Total-Station could extract the exact position and visual shape of the slopes that accurately describe the slope information. Through the proposed system, the prediction of damage areas from the landslide could also make it easy to efficiently identify the level of landslide risks via web-based user interface. It is expected that the proposed landslide risk management system can support the decision making framework during the identification, prediction, and management of the landslide risks.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.566-572
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• 2009

Turn-key and CMF(CM for Fee) have been selected as procurement paths of large public projects in Korea. However, recently, researches and discussions on CMR(CM at Risk) have been popular as the Korean government seeks for alternative procurement paths to enhance the performance. In the CMR projects, the part who is responsible for construction management should predict and control the potential risks for guaranteeing benefits. In this paper, CMR projects in which a general contractor plays the role as CMr is mainly analyzed. We give attentions to risk management during construction process given that subcontractors, main parts in this phase, work in various ways and thus more chances for faults exist. In this case, for the general contractor, to recognize potential risks in previous to start construction works of subcontractor by means of virtual design and construction (VDC) must be essential to this end. The case study of practices on VDC in U.S in which CMR has been introduced can provide considerable aspects to implement it in Korea.

• Korean Journal of Construction Engineering and Management
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• v.6 no.5 s.27
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• pp.119-127
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• 2005

According to the recent systemic changes such as construction market reduction, five days per week system, introduction of construction duration reduction bidding system and post-construction sale system, the bidding competition have been enhanced. However, there are many construction schedule risks which could delay construction completion. Without the proper identification of construction schedule risks and the structured construction schedule risk management, the competitive advantages of construction project could not be made. Previous researches to solve the problem have been focused on the construction schedule categorization, construction schedule management, and the system development to manage the construction schedule risk. Therefore, this study selected the reinforeced concrete construction as the studied work due to the major impact characteristics on the total construction duration and the quite accident rate, and then proposed the real construction schedule risks of reinforced concrete construction and the construction risk management method based on the previous studies, many times of expert interviews and brainstorming.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.99-105
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• 2008

For large-scale projects, supply chain management of construction materials is a key to a successful construction project. Inefficient management would cause significant loss in project cost, quality problems (and possible re-work), delayed delivery, claims, etc. On the other hand, efficient supply chain management system can reduce risks even the given project suffers from tricky details and frequent changes thanks to reduced material loss, shortened delivery time, and the quality outcome; this is a win-win situation for both clients and contractors. This paper presents a next-generation intelligent supply chain management system, which is intended to support large-scale construction projects such as urban high-rise buildings, as a strategic vision of the future construction logistics.

• Korean Journal of Construction Engineering and Management
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• v.10 no.1
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• pp.69-77
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• 2009

Recently, a research of the urban regeneration has been performed very actively. This is one of the efforts to resolve various social and economic problems coming from the existing deteriorated building and facilities by new urban development or redevelopment. However, an urban regeneration has a characteristic to be unable to ensure the project performance due to the exposed numerous risks coming from the various and complex stake-holders, and its mega sizes. This paper proposes the method of risk performance index in order to improve an efficiency of performance measurement expanding to the risk view point from the existing integrated cost/schedule performance measurement. A risk performance index is compatible with the existing EVMS, and can make the performance measurement in 3 dimensions of the integrated cost/schedule/risk with 18 sub-indexes and variables.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.139-148
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• 2011

u-City projects are different with the existing urban development projects progress via convergence with IT technology. Therefore, it inheres many risk factors more than the existing development projects as including more complexity and variety. The risk management system to systematically manage those risks which get identified and quantified is required. Especially, the planning phase that is appeared the various forms has a large effect on the success of the business. However, the management of risk factors remains in the passive form. So the problems on u-City project in the planning phase and risk factors of existing development business were analyzed for the continuous growth and the successful performance of u-City project, and those risk factors was identified and quantified by using statistical technique. In the results of it, the core risk factors were obtained through which way and the basis for the effective risk management in u-City business is provided.

• Journal of KIISE
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• v.42 no.4
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• pp.468-474
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• 2015

Corporations should make efforts to recognize the importance of projects, identify their failure factors, prevent risks in advance, and raise the success rates, because the corporations need to make quick responses to rapid external changes. There are some previous studies on success and failure factors of projects, however, most of them have limitations in terms of objectivity and quantitative analysis based on data gathering through surveys, statistical sampling and analysis. This study analyzes the failure factors of projects based on data mining to find problems with projects in an audit report, which is an objective project evaluation report. To do this, we identified the texts in the paragraph of suggestions about improvement. We made use of the superior classification algorithms in this study, which were NaiveBayes, SMO and J48. They were evaluated in terms of data of Recall and Precision after performing 10-fold-cross validation. In the identified texts, the failure factors of projects were analyzed so that they could be utilized in project implementation.