• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• Korean Journal of Construction Engineering and Management
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• v.4 no.2 s.14
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• pp.109-117
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• 2003

The construction project is largely exposed to much more risk events over the project life cycle due to its complexity and size than the other industries. Therefore, the construction risk management process to identify and response the risk events is not only performing acutely but also proceeding systematically. The risk identification phase in the risk management process is to identify various risk events and define its characteristics. At this phase, the risk identification system is very useful tool to identify every possible risk events in the project. This study shows some problems of the existing risk identification system and proposes the modified risk identification system based on the project phases and the contract bodies, and also suggests partial but more enough detailed risk checklists to be implemented in the actual risk identification phase than any other existing risk breakdown systems to be examined at this study.

• Journal of the Korean Society of Safety
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• v.29 no.3
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• pp.79-84
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• 2014

Human error is one of the major contributors to the accidents. A lot of risk assessment techniques have been developed for prevention of accidents. Nevertheless, most of them were interested in physical factors, because quantitative evaluation of human errors was difficult quantitatively. According to lack of risk assessment techniques about human errors, most of industrial risk assessment for human errors were based on data of accident analysis. In order to develop an effective countermeasure to reduce the risk caused by human errors, a systematic analysis is needed. Generally, risk assessment system is composed of 5 step(classification of work activity, identification of hazards, risk estimation, evaluation and improvement). This study aimed to develop a risk identification technique for human errors that could mainly be applied to industrial fields. In this study, Ergo-HAZOP and Comprehensive Human Error Analysis Technique were used for developing the risk identification technique. In the proposed risk identification technique, Ergo-HAZOP was used for broad-brush risk identification. More critical risks were analysed by Comprehensive Human Error Analysis Technique. In order to verify applicability, the proposed risk identification technique was applied to the work of pile head cutting. As a consequence, extensive hazards were identified and fundamental countermeasures were established. It is expected that much attention would be paid to prevent accidents by human error in industrial fields since safety personnel can easily fint out hazards of human factors if utilizing the proposed risk identification technique.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.901-904
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• 2008

The purpose of this study is to identify the risk factors, analyze the risk factors and make a risk check list of survey in road construction. Generally. the risk management is consisted of 3 steps: risk identification, Risk analysis, Risk hedge. This study is focused on the identification of risk and analysis of risk. To identify the risk factors of survey, we used the specifications of road construction, law of survey, and check list of road construction. This study provides the risk check list of survey for road construction. This research was undertaken to analyze risk factors being determine by the FGI(Focus Group Interview) method with survey specialists.

• Architectural research
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• v.21 no.2
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• pp.49-57
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• 2019

Risk assessment during pre-construction phase is important due to the uncertainty of the risks that may exist in projects. Risk checklist is a method to systematically classify and organize the risks that have been experienced in the past, and to identify the risk factors that may be present in the future projects. In addition, risk value assessment based on checklists plays a key role in risk management, and various risk assessment researches have been conducted to carry out this systematically. However, previous approaches have limitations in common, this is because risk values are evaluated individually in risk checklists, which ignore interdependencies among risk factors and neglect the emergence of co-occurrence of risks. Hence, when multiple risk factors cooccur, they cannot be far off from the conventional method of summing the total risk value to establish the risk response strategy. Most of risk factors are interdependent and may have multiple effects if occurred than expected. In particular, specific cause can be overlapped if multiple risks co-occur, and this may result in overestimation of the risk response for the future project. Thus, the objective of this research is to propose a model to help decision makers to quantify the risk value reflecting the interdependency during the identification phase using existing risk checklist that is currently being practiced in actual construction projects. The proposed model will provide the guideline to support the prediction and identification of the interdependency of risks in practice. In addition, the better understanding and prediction of the exceeding risk response by co-occurring risks during the risk identification phase for decision makers.

• The Journal of Economics, Marketing and Management
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• v.10 no.5
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• pp.1-6
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• 2022

Purpose: To overcome the question that depends too much on expert's subjective judgment in traditional risk identification, this paper structure the multilevel generalized fuzzy comprehensive evaluation mathematics model of the risk identification of project, to research the risk identification of the project. Research design, data and methodology: This paper constructs the multilevel generalized fuzzy comprehensive evaluation mathematics model. Through iterative algorithm of AHP analysis, make sure the important degree of the sub project in risk analysis, then combine expert's subjective judgment with objective quantitative analysis, and distinguish the risk through identification models. Meanwhile, the concrete method of multilevel generalized fuzzy comprehensive evaluation is probed. Using the index weights to analyse project risks is discussed in detail. Results: The improved fuzzy comprehensive evaluation algorithm is proposed in the paper, at first the method of fuzzy sets core is used to optimize the fuzzy relation matrix. It improves the capability of the algorithm. Then, the method of entropy weight is used to establish weight vectors. This makes the computation process fair and open. And thereby, the uncertainty of the evaluation result brought by the subjectivity can be avoided effectively and the evaluation result becomes more objective and more reasonable. Conclusions: In this paper, we use an improved fuzzy comprehensive evaluation method to evaluate a railroad engineering project risk. It can give a more reliable result for a reference of decision making.

• Environmental Analysis Health and Toxicology
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• v.25 no.3
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• pp.207-214
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• 2010

Toxicity identification and quantification are important factors to evaluate the effect of industrial effluent on the aquatic environment. In order to measure the potential and real toxicity of mixed chemicals in the effluents, the biological method (i.e., WET test) should be used as well as chemical analysis method. In this study, we conducted WET test for various kinds of industrial effluents using aquatic organisms such as water flea (Daphnia magna), algae (Pseudokirchneriella subcapitata), fish (Oryzias latipes, Danio rerio), and microorganism (Vibrio fisheri). In addition, we carried out chemical analysis and TIE (Toxicity Identification Evaluation) for effluents in order to identify the substances causing toxicity. Among the 30 kinds of wastewater, S13 showed the highest eco-toxicity and $Ca^{2+}$ and $Cl^-$ ion were suspected as major compounds causing toxicity for aquatic organisms. In order to confirm these suspected compounds, various confirmation procedures need to be carried out.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.311-324
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• 2014

Purpose: It can deduce improvement plan that recognizes any risk factors in initial production and mass production by using FMEA and through this process, the appropriate criteria for defence items can be established. Methods: It proposes two methodology - Apply DT/OT data achieved from the beginning mass production stage based on FMECA data of the design stage, to risk management, and risk management plan that reflected line and field faliure data in case of is offered. Results: It proposes the risk management plan through Bayesian method and the risk identification that considered MTTF estimated value in case of initial production process. In case of mass production process, both risk identification by using fault occurrence frequency scores and Byaesian method, In case of the Initial production and mass production, it proposes use both two methods. Conclusion: A more realistic risk identification method can be applied, and by this method the quality improvement effect is expected.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.1-11
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• 2015

Enterprise Risk Management(ERM) is aiming at the establishment of the risk management process to prevent and cope with risks in advance and is composed of Risk Identification, Risk Assessment, Risk Response and Monitoring. It is feedback through the Risk Re-identification. This study has analysed a sample of the risk management system of an airport operating corporation, for this purpose, relevant documents and examples of overseas airports have been reviewed. It has found that corporations establishing ERM have been performing identical procedures such as the process of Identification, Assessment, Effective Reporting, Communication and monitoring and so on. The A corporation has established the process for risk management and crisis management and organized for its organization and system. The risk management has the same process such as above. In this process, when the symptoms of critical crisis have been recognized, it has been transformed into crisis management system, through which, corporate-wide response has been conducted in the process of crisis status analysis, response and follow-up management. This study expects to contribute to systematic foundation for future business continuity on the basis of risks and response procedures acknowledged by this study.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.15-23
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• 2015

In the construction industry, risk management has gained constant attention as the factor not only to evaluate global competitiveness of the country but also to secure competitiveness of public institutions and private companies. For effective construction risk management, the specific work process improvement that can be employed in the field in terms of risk management of the entire corporation such as financial, insurance and safety management is necessary. To manage construction risks, what is important is the step to identifying inherent risks in the construction project. The identification of risks will be followed by the step to seeking ways to establish and manage strategies responding to the risks. This study suggests ways and processes to make a checkslit to identify risks through case studies. To that end, the focus will be placed on working process improvement of risk identification among stages to manage construction risks such as risk identification and analyses, planning to respond to risks, risk monitoring and management. The case study checklists show that setting up the system to classify risks by stage is helpful to figure out causes of risks to reduce or eliminate risk factors. The checklist making process that considers features of the project is expected to contribute to successful completion of the project by enabling effective risk identification and systematic risk management.