• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.2
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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.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.187-196
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• 2020

We tried to do research on main views(risk and knowledge-based) and propose user knowledge as a factor to be managed in order to strengthen the performance. This study empirically analyzed the user-related and project management risk that affect the IT project performance, and verified user knowledge as a moderating variable. The survey was conducted for respondents who have experience on IT Project of public sector and data were analyzed by Smart PLS 3.0. The results show that low user-related and project management risks have a positive effect on performance. In addition, user knowledge has been shown to enhance the impact of two risks on performance. These findings are meaningful in that they emphasize the importance of user knowledge in public-sector IT projects, as well as the repeated verification of integrated research results.

• Nuclear Engineering and Technology
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• v.54 no.12
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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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.423-426
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• 2004

Costs of public rental housing development project consist on various kinds of profits and expenses such as national housing fund, rental cost, construction cost, financing cost. Therefore, project would not be executed without minute management and precise prediction about each item. Cash (low prediction and analysis are necessary to grasp current situation of project, because construction project which is conducted for a long period has fluent risks and inflows and outflows of cash. Although cash flow analysis has been conducted, cash flow has never been expected and managed. General matters to expect cash flow can be known by actual results and literatures. Hut there is no thesis which is studied about risk to enhance precision of expectation of cash flow. As existing thesises studied the risk about whole project, we haven't known precise relations of cash flow and project. Therefore, in this study, we are supposed to analysis and distinguish risk facts which can affect each item of cash flow for precise cash flow expectation and management of public rental housing development project.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.4
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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.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.57-65
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• 2014

Risk factors are the reason behind cost overruns and delays in long-term large-scale IT service projects. Major risks originate from the integration of complex IT system components, including software, hardware, and solutions; the competitive bidding process; the turnkey and firm-fixed price nature of contracts; and the project execution environment. We have identified several risk factors such as delay in acceptance, low quality of deliverables, delay in payment, adding and changing requirements and scope, unclear definition of roles and responsibilities of the buyer and supplier, and unclear procedures of change and quality management during the project execution phase. One needs to manage risks proactively before signing the contract. In order to weed out or lower the risk factors well in advance, we need to identify and remove risk factors contained in contract clauses and attached contract documents. We propose a checklist for assessing IT service project contracts. To validate the checklist's utility, we applied it to an IT service project in the finance industry. The results show that the checklist is effective in identifying and removing risk factors pertaining to IT service projects.

• International conference on construction engineering and project management
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• 2020.12a
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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.

• International conference on construction engineering and project management
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• 2013.01a
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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.

• International conference on construction engineering and project management
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• 2022.06a
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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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• v.4 no.4
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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.