• Korean Journal of Construction Engineering and Management
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• v.21 no.3
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• pp.11-19
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• 2020

Since an accident in construction industry has been higher than others for decades, the accident in construction industry should be decreased. To prevention this problem, the work breakdown structure (WBS) and risk breakdown structure (RBS) are presented. the WBS and RBS, are hierarchy structure which can find fatal incident considering type of building and type of work easily and quickly. So, this study aims to develop framework for the integrated WBS-RBS to prevent fatal incident on construction industry. The research process is conducted by following 3 steps: (I) collection of data; (II) classification of data; and (III) development of the integrated WBS-RBS. The result of this study can propose the most dangerous fatal incident aspect of type of building, type of work, and type of accident. Through the result, the decision maker can reduce or eliminate fatal incident considering type of building, type of work and type of accident in construction industry.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.571-573
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• 2006

This study suggests a reasonable method for visualizing risk management level by risk weight linked with 4D model. This study defines risk management procedures as preparation, identification, analysis, response and management to manage potential risks in the construction project. The modules for computerizing in this system consist of planning, construction, application of WBS (Work Breakdown Structure) and RBS (Risk Breakdown Structure), and risk analysis. The final results include a method for visualizing risk level by each element of the project by using 4D simulation technique. It can be used as a visualized risk management tool instead of current system using numerical data.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.140-141
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• 2015

Although the depression of oversea construction market becomes more serious recent years, asian construction market is relatively dynamic, particularly in china. However, few research has been conducted about how to manage construction projects in china as foreign developers. Four important risks are identified from series of surveys using the WBS-RBS method, the result shows that the main risk of tender stage is 'Tender max price error', ' Bill of quantities error', 'Unusual low price' and 'Moral risk' respectively.

• 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.5 no.2 s.18
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• pp.136-143
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• 2004

This study presents a risk management methodology using fuzzy theory for early construction stage and is focused on risk identification and risk analysis. This study identifies various risk factors associated with activities clearly construction stage, then establishes the Risk Breakdown Structure(RBS) by classifying the risks into the three groups; Common risks, risks for Earth works, and risks for Foundation works. The risk analysis method presented in this study is based on the RBS that has two levels such as upper level and lower level. The risk exposure of lower level risk factors is assessed by fuzzy inference. The weight of risks is estimated by fuzzy measure. Then, the estimated risk exposures and weights are aggregated to assess the risk exposure of upper level risks by Choquet fuzzy integral. The risk exposure of upper level risks determine the priority of risk factors in view of risk management. This study performs case study to validate the proposed method. The result of case study shows that the methodology suggested in this thesis would be utilized well in evaluating risk exposure.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.101-108
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• 2004

The results of the study include a computerized system and a systematic Process model for risk management and analysis. This study analyzes the present status of risk management in the construction industry, and then suggests reasonable methods for improved risk management plans. This study defines risk management procedures as preparation, identification, analysis, response and management to manage potential risks In the construction project. The modules for computerizing this system consist of planning, construction, application of WBS (Work Breakdown Structure) and RBS (Risk Breakdown Structure), and risk analysis. The method logy for analyzing construction risk uses fuzzy theory, and the scope of developed system is focused to the contractors. The risk management system suggested in this study operates on the Internet, for providing contractors with a useful risk management tool by online system, with web-based menus that is helpful for practical application.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.469-480
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• 2006

The results of the study include a computerized system and a systematic process model for risk management and analysis. This study analyzes the present status of risk management in the construction industry, and then suggests reasonable methods for improved risk management plans. This study defines risk management procedures as preparation, identification, analysis, response and management to manage potential risks in the construction project. The modules for computerizing in this system consist of planning, construction, application of WBS (Work Breakdown Structure) and RBS (Risk Breakdown Structure), and risk analysis. The methodology for analyzing construction risk uses fuzzy theory, and the scope of developed system is focused to the contractors. The risk management system suggested in this study operates on the Internet, for providing contractors with a useful risk management tool by online system, with web-based menus that is helpful for practical application.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.115-122
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• 2004

This study identifies various risk factors associated with activities of early construction stage, then establishes the Risk Breakdown Structure(RBS) by classifying the risks into the three groups; Common risks, risks for Earth works, and risks for Foundation works. The Common risks are identified and classified by considering various aspects of the early construction stage such as financial, political, constructional aspects, etc. The risks for Earth works and Foundation works are identified in detail by surveying technical specifications, relevant claim cases and interviewing with experts. These risks are classified based on the Wok Breakdown Structure(WBS) of the early construction stage. The WBS presented in this study classifies the works of early construction stage into four categories; excavation, sheeting works, foundation works, footing works. This study suggests a risk analysis method using fuzzy theory for construction projects. Construction risks are generally evaluated as vague linguistic value by subjective decision making. Fuzzy theory is a proper method to quantify vague conditions of construction activities. Therefore, this study utilizes fuzzy theory to analyse construction risks. The weight of risks is estimated by reflecting the interrelationship among risk factors from absolute weights obtained by fuzzy measure into the relative weights by Analytical Hierarchy Process(AHP). The interrelationship is estimated by Sugeno-fuzzy measure.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.423-432
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• 2010

This study suggested CRMS (construction risk management system) which is a new risk analysis model after analyzing existing risk management process for to guarantee a successful performance at the construction planning and work phase. CRMS is risk management procedures in order that the contractor identify, analyze and administrate the risk during performing construction project. This model may give much help to quantify and be ready the right managing methods about identified risk by the contractor. Especially, the most important and difficult things of all risk management may be to identify risk in the project. This study make more focusing on the developing a procedure that can identify risk more easily in the construction project. The risk is divided into global risk and local risk of a project. Also, this study suggests methods which are using the RBS (risk breakdown structure) related with WBS. This result will be useful as basic materials for developing computerizing system for risk management.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.560-564
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• 2009

절도시설과 같은 광역지역 공사 현장에서는 다양한 요인을 갖는 공종별 위험요소가 존재하고 있으나, 현장에서 이를 효율적으로 관리할 수 있는 방안의 수립이 미흡한 실정이다. 따라서 본 연구에서는 철도 관련 실무자들을 대강으로 설문조사를 실시하여 공종별 위험 요인을 도출한다. 이를 통해 RBS(Risk Breakdown Structure)를 구축하고 제시된 RBS에 의한 위험도를 산정한 후 이를 기반으로 VR시스템과의 연동 및 위험관리 체계 구축 방법론을 제시하고 있다. 따라서 현장에서의 주요 공종별 Risk 위험도를 가상환경에서 구현이 가능하므로 위험요인에 따른 시설의 직관적 파악이 가능하다. 또한 시공자들은 나타난 시각화 정보에 의한 Risk에 대비해 효율적인 공사 관리를 이행할 수 있을 것으로 기대된다.