• Journal of Construction Engineering and Project Management
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• 제8권2호
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• pp.17-33
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• 2018

This study investigates the stability of professionals' cost variability factor-rankings across different levels of cost-variability and response scenarios. Descriptive statistics are used to examine the stability of factor-ranking for 20 cost variability factors and a Multinomial Logistic (MNL) regression model was implemented to examine the stability of cost variability factors across three cost variability levels. The finding on the descriptive statistics indicated that professionals' factors-rankings are stable only for external factors. The MNL regression results on factor-stability suggested that 8 out of the 20 evaluated factors were unstable determinant of lower cost variability levels. These factors are "risk associated with the project", "personal bias and poor professionalism of the estimators", "limited time available to complete the project", "lack of skills and experience by estimator" "geographical location of projects", "incomplete & rush designs for estimate", "unforeseen or unexpected site constraints", "high class bidders for the contractors". Similarly lack of experience and large size projects were observed to be unstable as well. These observations suggest that professionals' view on pre-tender cost variability factor-ranking yields unstable factor rankings hence should not be relied upon as the only mechanisms to mitigate cost related risks in construction projects.

• 전기학회논문지
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• 제58권5호
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• pp.960-967
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• 2009

Power supply system of electric railway has a diversity of safety problems since it should supply high electric power to the trains moving high speed with a lot of passengers on board. This paper provides a risk assessment approach to safety management of the electric railway facilities. Construction of database from field accident information, risk assessment and management of the risk are carried out systematically to ensure the safety. The risk assessment includes hazard identification, cause analysis by FTA(Fault Tree Analysis), consequence analysis by EVA(Event Tree Analysis), and loss analysis. In terms of the severity and the probability of the accidents deduced by these analyses, the risk of the accidents is assessed by using a risk matrix designed for electric railway facilities. Based on the risk assessment, possible risk mitigation options are identified and evaluated by analyzing their impact on the risk reduction and their cost benefit ratio. The long-term safety of the electric railway facilities can be ensured by renewal of the risk assessment and the risk mitigation option analysis with continuous accident database update. The proposed approach is applied to the electric railway facilities of Korean railway based on the accident data from 2002 to 2008.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
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• pp.423-426
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• 2004

공공건설임대주택의 사업비는 국민주택기금, 임대료, 임대보증금, 공사비, 금융비용 등 다양한 수익과 비용이 복합적으로 나타나게 된다. 따라서 공공건설임대주택 사업은 그 특성상 유동성과 재무탄력성에 대한 유용한 정보를 제공해 줄 수 있는 현금흐름예측이 필요하다. 그러나 현금흐름분석은 일부 시행하고 있었으나, 이를 예측 $\cdot$ 관리하고 있는 곳은 전무한 것으로 나타났다. 현금흐름 예측을 위한 일반적인 사항들은 실적자료와 문헌을 통하여 알 수 있으나, 현금흐름 예측의 정확성을 높이기 위한 리스크에 대한 연구는 전무한 실정이었다. 기존의 리스크에 대한 연구는 사업 전체에 대한 연구로 현금흐름과 정확한 상관관계를 알 수 없었다. 따라서 본 연구에서는 수익성 측면에서의 사업성분석 방법으로 현금흐름 예측방법을 제안하고 공공건설임대주택사업의 정확한 현금흐름예측과 관리를 위하여 현금흐름 각 항목에 영향을 미치는 리스크 인자들을 식별 $\cdot$ 분석 하고 그 대응방안을 모색하고자 한다.

• 한국건설관리학회논문집
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• 제8권2호
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• pp.109-117
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• 2007

건설산업의 환경은 대형화, 전문화의 추세와 공사이행기간의 증가와 건설공사의 입찰에 있어서 중요한 리스크 요인과 불확실 요인이 존재하게 되었으며 하도급자의 판단오류 및 인식부족은 이윤감소 혹은 적자를 초래하게 되며, 이는 결과적으로 하도급자에게 재정적 부담을 주게된다. 따라서 입찰단계에서의 리스크요인에 의한 공사예비비 산정을 예측하고 계약의 합의와 이행 과정에서 하도급자의 목표이윤 확보를 고려한 입찰단가를 산정하는 것은 매우 중요하다. 이러한 취지에서 본 연구는 하도급자의 공종별 사례로 선정하여 입찰금액 산정에 미치는 리스크에 대한 중요도가 공사비에 미치는 영향정도를 기초로 하여 분석하고, 이를 바탕으로 하도업자의 합리적인 입찰전략을 수립하는 기초자료로 활용하는데 있다.

• 한국건설관리학회논문집
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• 제22권3호
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• pp.52-60
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• 2021

국내 시공사의 해외 건설 비중이 증가하면서, 발생하는 리스크로 인한 비용초과는 시공사의 재정 상황에 막대한 영향을 끼친다. 특히, 현지 관리자의 올바른 시공단계의 리스크 인식은 실질적인 관리에 영향을 끼친다. 그러나 실제 사례에서 발생한 리스크 요인의 비용초과 영향도와 현장 관리자의 인식도에는 차이가 있다. 따라서 이 연구는 리스크 관리를 위한 비용초과 대응전략 구축 이전에 해외 건설 시공단계 리스크 요인을 기반으로 실제 사례와 현지관리자의 인식도 비교를 목표로 한다. 우선, 이론고찰을 통해 선별된 리스크 요인을 기반으로 20개 사례에서 발생한 290개의 비용초과 데이터 기반으로 몬테카를로 시뮬레이션을 통해 추가 데이터를 획득한 후, 다중회귀분석으로 얻을 수 있는 표준화계수를 통해 요인별 비용초과 영향도를 구하였다. 또한, 42명의 현지관리자를 대상으로 동일 요인에 대한 인식도 파악을 위해 설문조사 진행 후, SWARA를 활용하여 분석하였다. 두 데이터 비교 결과, '하청업체와의 갈등', '현지 커뮤니티와의 갈등' 등의 갈등 관련 리스크들이 높은 비용초과를 보인다. 그러나 현지관리자들은 이를 낮은 순위로 인식하며, '자재 가격의 변동', '시공 품질 오류' 등에 대해 높은 순위로 인식하고 있었다. 따라서 현지관리자들의 갈등 리스크에 대한 교육과 관심이 필요하다.

• Journal of Construction Engineering and Project Management
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• 제4권1호
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• pp.29-36
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• 2014

Tunnelling has become a preferred method of construction for road and highway projects in countries with a lot of hilly slope geological conditions such as found in Malaysia. However the construction works of a tunnelling project are usually complicated and costly, which consequently impose great risks to the parties involved. This paper identifies the key significant risks and sub-risks for tunnelling construction projects in Malaysia through a case study. Interview has been used as the solitary means to determine the significant risks from contractor's eleven key project personnel who were directly involved in the tunnelling construction such as consultant, construction manager and tunnel engineers. The importance of the risks identified is then prioritised and ranked via the Analytic Hierarchy Process (AHP)'s pairwise comparison approach to determine their criticality towards a successful delivery of project. As a result, three key risks have been identified as significant for the tunnelling case study project, namely health and safety, cost overrun in construction and time overrun in construction. Two sub-risks each of the latter categories, which are cost underestimation and unforeseen events (cost overrun in construction) as well as plant and machinery failure and delay in material delivery (time overrun in construction), have occupied the top five overall risk ranking.

• 보건행정학회지
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• 제27권2호
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• pp.149-156
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• 2017

Background: This study was conducted to evaluate the performance of the Hierarchical Condition Category (HCC) model, identify potentially high-cost patients, and examine the effects of adding prior utilization to the risk model using Korean claims data. Methods: We incorporated 2 years of data from the National Health Insurance Services-National Sample Cohort. Five risk models were used to predict health expenditures: model 1 (age/sex groups), model 2 (the Center for Medicare and Medicaid Services-HCC with age/sex groups), model 3 (selected 54 HCCs with age/sex groups), model 4 (bed-days of care plus model 3), and model 5 (medication-days plus model 3). We evaluated model performance using $R^2$ at individual level, predictive positive value (PPV) of the top 5% of high-cost patients, and predictive ratio (PR) within subgroups. Results: The suitability of the model, including prior use, bed-days, and medication-days, was better than other models. $R^2$ values were 8%, 39%, 37%, 43%, and 57% with model 1, 2, 3, 4, and 5, respectively. After being removed the extreme values, the corresponding $R^2$ values were slightly improved in all models. PPVs were 16.4%, 25.2%, 25.1%, 33.8%, and 53.8%. Total expenditure was underpredicted for the highest expenditure group and overpredicted for the four other groups. PR had a tendency to decrease from younger group to older group in both female and male. Conclusion: The risk adjustment models are important in plan payment, reimbursement, profiling, and research. Combined prior use and diagnostic data are more powerful to predict health costs and to identify high-cost patients.

• 산업경영시스템학회지
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• 제39권1호
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• pp.9-16
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• 2016

The project schedule risk in the engineering and facility construction industry is increasingly considered as important management factor because the risks in terms of schedule or deadline may significantly affect the project cost. Especially, the project-based operating companies attempt to find the best estimate of the project completion time for use at their proposals, and therefore, usually have much interest in accurate estimation of the duration of the projects. In general, the management of projects schedule risk is achieved by modeling project schedule with PERT/CPM techniques, and then performing risk assessment with simulation such as Monte-Carlo simulation method. However, since these approaches require the accumulated executional data, which are not usually available in project-based operating company, and, further, they cannot reflect various schedule constraints, which usually are met during the project execution, the project managers have difficulty in preparing for the project risks in advance of their occurrence in the project execution. As these constraints may affect time and cost which role as the crucial evaluation factors to the quality of the project result, they must be identified and described in advance of their occurrence in the project management. This paper proposes a Bayesian Net based methodology for estimating project schedule risk by identifying and enforcing the project risks and its response plan which may occur in storage tank engineering and construction project environment. First, we translated the schedule network with the project risks and its response plan into Bayesian Net. Second, we analyzed the integrated Bayesian Net and suggested an estimate of project schedule risk with simulation approach. Finally, we applied our approach to a storage tank construction project to validate its feasibility.

• 경영과정보연구
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• 제27권
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• pp.149-172
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• 2008

Since the 9/11 terror attack, the event which caused supply chain disruption, supply chain security has becomes more important than ever before. Furthermore, such company's logistics strategies conflicting supply chain security as increased global sourcing, JIT manufacturing are increasing supply chain vulnerability. It could burden for global companies to strengthen supply chain security because not only it requires additional investment cost but also changes of companiy's global logistics strategy. However, on the other hand, supply chain visibility and resilience can be improved through supply chain security. In addition, it allows companies to stabilize supply chain structure as well as rapid and flexible response to market demand. The key issue is balancing between efficiency and supply chain security. To do this, identifying risk elements under the supply chain and assessing vulnerability of each supply chain components should be performed before developing efficient supply chain security management system without obstructing supply chain efficiency.

• Communications for Statistical Applications and Methods
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• 제15권1호
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• pp.117-124
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• 2008

The liquidity risk is defined as an additional risk in the market due to the timing and size of a trade. A recent work by Cetin et ai. (2003) proposes a rigorous mathematical model incorporating this liquidity risk into the arbitrage pricing theory. A practical problem arising in a real market application is an estimation problem of a liquidity cost. In this paper, we propose to estimate the liquidity cost function in the context of Cetin et al. (2003) using the constrained least square (LS) method, and illustrate it by analyzing the Kellogg company data.