• Construction Engineering and Management
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• v.25 no.2
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• pp.10-13
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• 2024

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.77-86
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• 2019

Due to the increasing demand for and complexity of plant construction projects, unpredictable risk factors are on the consequent increase. For that reason, the quantitative risk analysis is being called for, in order for the development of a risk assessment model using risk indicators for the plant construction projects. This study used the claim payout data collected at a global insurance company to reflect the actual financial losses in plant construction projects as dependent variables in the risk assessment model. In terms of independent variables, the geographic information, i. e., landform, and the construction information including test-run, schedule rate, total cost and duration are adopted. In addition, this study suggests that the regression model containing such independent variables that are statistically significant can be applied to as a foundational guideline for the plant construction project risk analysis during the phase of construction and commissioning.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.12-24
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• 2012

The Risks in undertaking a construction project comes from many sources and often involves many participants in the project. This study has identified various kinds of risks, assessed the risk factors quantitatively and suggested risk management method for response pertinent in Design Build(Turn Key)type of projects in Korean context. A questionnaire was designed comprising of 145 possible risks in all types of construction projects. The population from owner, consultant and contractor groups was asked to indicate the risks applicable in DB projects. 25 numbers of critical risks in DB projects were identified and further analyzed for reveling inherent relationship between them through factor analysis. Factor analysis revealed 8 risk factors in DB projects. Construction site related, contract related and design related risk factor consisted about 72% of total risk weight. It has been found out about 6%, while considering the mutual dependency, it is about 10% of total cost of DB project. Therefore, It is suggested that 6% to 10% of construction amount as contingency has to be made provision for risk responses in the DB projects.

• Korean Journal of Construction Engineering and Management
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• v.11 no.2
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• pp.25-34
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• 2010

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management is composed of identification, analysis and response. Especially, the risk analysis is important to objectively calculate significance of risk factors. This paper evaluates a method to find priorities of risks using the AHP(Analytic Hierarchy Process). The method has some defects; (1) the consistency becomes weak as the number of pair-wise compared risks is large, and (2) the input and output procedures are complex when risks are added to or removed from a risk database. Thus the paper adopts the PROMETHEE(Preference Ranking Organization METHod Enrichment Evaluations) analysis process which is able to overcome the limitation of the AHP restricted to 9 risk factors. The PROMETHEE makes the procedure of risk analysis simple, when the risk factors pull out and put in the risk database. The purpose of this study is to provide process of risk analysis to use the PROMETHEE.

• Korean Journal of Construction Engineering and Management
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• v.18 no.3
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• pp.105-116
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• 2017

In recent years, large Korean construction companies have suffered serious losses in their overseas business. Many practitioners and researchers have analyzed causes of cost overrun in these projects. However, these arguments have not been empirically verified based on acutal project cases. This study investigated cost overrun rate, contingency, allowance, predicted risk before bidding, and actual and residual risk after award in the 67 international infrastructure projects conducted by 13 large construction companies. The causes of cost overruns are derived as follows. First, they identified the possibility of cost overrun to some extent before the bidding, but did not reflect the enough risk money to bid price. In particular, this behavior was more severe in badly cost-overrun projects. Second, the causes of cost overrun were more influenced by external environmental risk than internal capability risk. However, the internal risk in badly cost-overrun projects was relatively high compared to cost-underrun projects. Third, badly cost-overrun projects failed to mitigate risk. However, cost underrun projects were affected more by low exterior risk conditions than by well mitigated risk. This study provides more informed knowledge in controlling project costs in international infrastructure projects.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.319-324
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• 2003

There is much more possibilities of encounter of critical problems and uncertain factors in construction project it is very important to analyze various risk factors of the project in its first stage. Because of the uncertainty, we need to study about the construction insurance scheme for risk-transfer within construction management method. This research methodology has been devised through analysis of characteristic of classified domestic construction insurance as well as some related foreign insurance system.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.66-73
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• 2014

The Korean construction industry has been severely impacted by the 2008 global financial crisis, which resulted in a significant reduction in the overall contract amount. For survival, many construction management (CM) companies had to adapt a strategy of lowering bid prices to maintain their competitiveness. As a result of the strategy, companies faced a number of issues including their decreased capability in risk management. However, most risk management-related studies focused on construction risk management, yet these studies lacked consideration of enterprise-level risk management practices. To fill the gap, the objectives of the present study are (1) to investigate, the risk management practices of Korean CM companies, (2) to identify factors that determine efficient enterprise-level risk management practices, and (3) to propose a module for the development of enterprise-level risk management. Lastly, the efficiency of the proposed development module was validated by using a survey.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.228-229
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• 2023

이동식크레인은 높은 사망률에 기여하는 기계로 최근 6년간(2016~2021) 사고사망사례 중 건설업 2,574건을 분석한 고위험 요인(SIF)정보에서 이동식크레인의 사고는 총 61건의 재해가 발생하였다. 현장의 안전대책에도 불구하고 제대로 활용이 안되고 있다. 본 연구에서는 표준 리스크 평가 지수를 제시하여 사고예방에 기여하고자 한다

• Korean Journal of Construction Engineering and Management
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• v.2 no.2 s.6
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• pp.68-80
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• 2001

While opportunities for international construction firms have been growing with globalization, the risk of international construction projects is significantly increasing in severity and complexity. However, the traditional risk management approach in the construction industry has maintained a profit focus. In addition, this approach has not considered the overall risk at the corporate level, but rather has focused only on the risk of individuals at the project level. Corporate risk management should be implemented from the initial stages of new project selection. This paper suggests the Multi-criteria Integrated Systematic Analysis as a strategic decision-making tool for international construction contractors. The model integrates the multi-criteria of risk, return, and efficiency to choose the optimal set of new portfolios at the corporate level. This model also introduces the Value at Risk (VaR) concept to the international construction industry to present the total risk at the corporate level. To validate this model, this paper tested an experimental case study using the historical data of a global general contractor.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.841-849
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• 2023

Construction projects have risks due to various factors such as construction delays and construction accidents. Based on these construction risks, the method of calculating the construction period of the construction project is mainly made by subjective judgment that relies on supervisor experience. In addition, unreasonable shortening construction to meet construction project schedules delayed by construction delays and construction disasters causes negative consequences such as poor construction, and economic losses are caused by the absence of infrastructure due to delayed schedules. Data-based scientific approaches and statistical analysis are needed to solve the risks of such construction projects. Data collected in actual construction projects is stored in unstructured text, so to apply data-based risks, data pre-processing involves a lot of manpower and cost, so basic data through a data classification model using text mining is required. Therefore, in this study, a document-based data generation classification model for risk management was developed through a data classification model based on SVM (Support Vector Machine) by collecting construction project documents and utilizing text mining. Through quantitative analysis through future research results, it is expected that risk management will be possible by being used as efficient and objective basic data for construction project process management.