• 산업경영시스템학회지
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• 제34권2호
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• pp.19-29
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• 2011

The uncertainty of a project generates risks hindering the goal achievement of the project, and the risks affect the success or failure of the project significantly. Risk management, a part of the project management, includes various processes, and there are also various tools or techniques applicable to that. In an organization, the application of project management develops gradually from low to high maturity, and the organization should choose and implement a method of application proper for the level of its maturity. This article suggests a method to reduce inefficiency of the management and how to apply risk management by levels of maturity for easier application. For this, the stages of project management maturity levels were divided into the introduction, development, and maturity step, and methods of risk management suitable for each stage were applied. And methods of risk management that need to be applied by the levels of project maturity are divided into three factors : risk management processes, risk management tools and techniques, and risk management standards and templates. It is expected to be favorable approaches for the application of risk management in an organization to divide those factors into more concrete processes, tools, techniques, and standards and apply them by the levels of management maturity.

• 디지털융복합연구
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• 제18권6호
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• pp.187-196
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• 2020

IT 프로젝트 성과를 위한 두 가지(위험 기반, 지식 기반) 주요 관점을 통합적으로 연구하고자 하였으며, 민간부문보다 상대적으로 제약이 많은 공공부문 IT프로젝트가 성과를 확대하기 위해 관리할 요인으로 사용자 지식을 제안하고자 하였다. 이에 본 연구는 성과에 미치는 2가지 유형의 위험(사용자 관련 위험과 프로젝트 관리 위험) 요인을 실증분석하였으며, 사용자 지식을 조절효과로 검증하였다. 공공기관 IT 프로젝트 참여 경험이 있는 응답자를 대상으로, 132부의 데이터를 수집하여 Smart PLS 3.0으로 분석하였다. 연구결과, 낮은 사용자 관련 위험과 낮은 프로젝트 관리 위험은 IT 프로젝트 성과에 정(+)의 영향을 미치는 것으로 나타났다. 또한, 사용자 지식은 사용자 관련 위험과 낮은 프로젝트 관리 위험이 IT 프로젝트 성과에 미치는 영향을 강화하는 것으로 나타났다. 이러한 연구결과는 통합적 연구결과의 반복적인 검증이자, 공공부문 IT 프로젝트에서 갖는 사용자 지식의 중요성을 강조한다.

• Nuclear Engineering and Technology
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• 제54권12호
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• pp.4809-4818
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• 2022

The decommissioning project of a nuclear facility is a large-scale process that is expected to take about 15 years or longer. The range of risks to be considered is large and complex, then, it is expected that various risks will arise in decision-making by area during the project. Therefore, in this study, the risk family derived from the Decommissioning Risk Management (DRiMa) project was reconstructed into a decommissioning project risk profile suitable for the Kori Unit 1. Two criteria of uncertainty and importance are considered in order to prioritize the selected 26 risks of decommissioning project. The uncertainty is scored according to the relevant laws and decommissioning plan preparation guidelines, and the project importance is scored according to the degree to which it primarily affects the triple constraints of the project. The results of risks are divided into high, medium, and low. Among them, 10 risks are identified as medium level and 16 risks are identified as low level. 10 risks, which are medium levels, are classified in five categories: End state of decommissioning project, Management of waste and materials, Decommissioning strategy and technology, Legal and regulatory framework, and Safety. This study is a preliminary assessment of the risk of the decommissioning project that could be considered in the preparation stage. Therefore, we expect that the project risks considered in this study can be used as an initial data for reevaluation by reflecting the detail project progress in future studies.

• 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.

• 한국농공학회논문집
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• 제60권4호
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• pp.15-25
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• 2018

The accident risk at the construction workplace associated with agricultural engineering is comparatively higher than those of other fields due mainly to its complex work types and processes. Agricultural engineering deals with a variety of agricultural infrastructures from irrigation and drainage facilities to giant-scale coastal reclamation land infrastructures. The characteristics that most agricultural projects have conducted on a small-scale even worsen the situation drawing low attentions to risk management. Therefore, systematical risk assessment that focuses on details of agricultural construction work process is required in order to enhance safety management capacity and to prevent repetitive accidents ultimately. This study aims to categorize construction work types and processes of agricultural construction works, and to quantitatively assess the accident risk of them based on accident analysis. Regarding classification of construction works, actual 827 accident cases were thoroughly reviewed and coded by their construction site, facility and work type, project scale and so on. Most accidents (71.8 % of total cases) occurred in small-scale construction workplaces with less than 5 billion Korean won project budget. And those accidents related to agricultural infrastructure project (37.4%) and agricultural water development project (22.4%). In terms of work types, accidents frequently took place in form-work followed by pipe installation work, steel bar work and concrete work. The potential risks were compared with actual outbreak of accidents based on Analytic Hierarchy Process (AHP). The results show that the potential conditions of accident expected to be took place is somewhat different from the actual conditions where accidents actually happened. This implicates that risk management manuals or education needs to be adjusted by reflecting unexpected circumstances. Overall, this study is meaningful in that the results could be foundations as to strengthen risk management capacity for agricultural engineering projects.

• 인터넷정보학회논문지
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• 제15권4호
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• pp.57-65
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• 2014

최근 한국의 대규모 IT 서비스 프로젝트의 수익률은 저하되고 있는 것으로 파악된다. IT 서비스 프로젝트의 수익률을 저하시키는 가장 큰 이유는 프로젝트와 관련된 여러 위험 요인들이 프로젝트의 일정 지연 및 비용 초과를 초래한 것으로 파악 된다. 이러한 일정 지연 및 비용 초과 현상을 방지하기 위해서는 프로젝트의 위험 요인들을 계약 체결 전에 식별하는 것이 매우 중요하다. 왜냐하면 발주사와 개발사간 계약 조건 협상 시 식별된 위험 요인들을 제거할 수 있기 때문이다. 본 연구에서는 IT 서비스 프로젝트의 특성으로 인해 프로젝트 수행 과정에서 발생할 수 있는 계약 위험 요인들을 사전에 파악하고 평가할 수 있는 체크리스트를 제시하고, 이를 실제 금융 산업의 IT 서비스 프로젝트에 적용하여 그 효과를 확인하고자 하였다. 적용 사례를 분석한 결과 IT 서비스 프로젝트의 위험 요인들을 식별하고 제거하는데 본 연구에서 제시된 체크리스트가 효과가 있음을 확인하였다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.103-113
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• 2020

The construction industry is undergoing a digital transformation in which Building Information Modelling (BIM) is a key technology. The potential of BIM in several areas such as design optimization, time management, cost management, and asset management/facility management (AM/FM) is widely acknowledged by the AECO (Architecture, Engineering, Construction, and Operation) industry around the world. However, BIM implementation in construction projects is faced with problems such as project delay and cost overruns. The lack of identification of risks in BIM projects and standard guidelines on mitigation techniques furthers poor performance, dissatisfaction, and disputes between employers and project participants, which results in low BIM adoption rates. Therefore, the objective of this paper is to identify the potential risks in BIM implementation under the primary categories - (1) technical, (2) contractual, (3) management-related, and (4) personnel-related risks in BIM projects and present solutions to reduce, manage, and mitigate risks. To meet the objective of this paper, a survey was designed and conducted in the Hong Kong construction industry in which over 140 respondents from different disciplines, with experience in BIM projects, have participated. Based on the analysis of the survey data, the most severe and frequently occurring BIM risks and their potential mitigation strategies were identified and discussed in this paper.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• Journal of Construction Engineering and Project Management
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• 제4권4호
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• pp.41-46
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• 2014

Indian Construction industry is large, volatile, and requires tremendous capital outlays. Typically, the work offers low rates of return in relation to the amount of risk involved. A unique element of risk in the industry is the manner in which disputes and claims are woven through the fibre of the construction process. Delay is generally acknowledged as the most common, costly, complex and risky problem encountered in construction projects. Because of the overriding importance of time for both the Owner and the Contractor, it is the source of frequent disputes and claims leading to lawsuits. The growing rate of delays is adversely affecting the timely delivery of construction projects. Presently construction industries are facing a lot of problems, considering that a paper assess construction stakeholder's perception to the causes of delays and its effects on project delivery. And also one case study is considered in this paper to elicit responses from construction stakeholders. The primary aim of this paper is to identify the perceptions of the different parties regarding causes of delays, the allocation of responsibilities and the types of delays, and method of minimizing the construction delays.