• Journal of the Korea Institute of Building Construction
• /
• v.19 no.1
• /
• pp.77-86
• /
• 2019

Due to the increasing demand for and complexity of plant construction projects, unpredictable risk factors are on the consequent increase. For that reason, the quantitative risk analysis is being called for, in order for the development of a risk assessment model using risk indicators for the plant construction projects. This study used the claim payout data collected at a global insurance company to reflect the actual financial losses in plant construction projects as dependent variables in the risk assessment model. In terms of independent variables, the geographic information, i. e., landform, and the construction information including test-run, schedule rate, total cost and duration are adopted. In addition, this study suggests that the regression model containing such independent variables that are statistically significant can be applied to as a foundational guideline for the plant construction project risk analysis during the phase of construction and commissioning.

• Korea Trade Review
• /
• v.45 no.2
• /
• pp.191-209
• /
• 2020

Project logistics is becoming increasingly important in overseas plant projects. Efficient logistics risk management is needed to reduce construction period and reduce costs. However, Korean construction firms bid unconditionally without sufficient experience and analysis on overseas plants contract, companies are gradually losing profitability on projects due to not considering profitability. Despite the significant effects on the profitability of Korean construction companies, and although these companies still continue to bid on overseas plant projects, policies to manage project logistics risks for safe transport and compliance with the contracted building schedule in the long term is still lacking. Hence, this study investigates the risk factors related to project logistics and to analyze the effect of project logistics risk on overseas plant business performance. We conducted a survey of project-related workers. The results of the analysis are as follows: First, among the logistics risk factors, overseas platform business people recognize operational risk and financial risk factors, which have a positive effect directly on overseas plant performance. Second, the ability to manage project logistics risks can have a significant impact on the success or failure of overseas plants. Finally, if logistics risk factors are managed on the basis of the research results confirmed through empirical analysis, it is possible to carry out more efficient and effective management of the project, which implies that this will have a positive effect on overseas plant business performance.

• The Plant Pathology Journal
• /
• v.22 no.4
• /
• pp.353-359
• /
• 2006

Transgenic Nicotiana benthamiana plants harboring the coat protein(CP) gene of Zucchini green mottle mosaic virus(ZGMMV) were chosen as a model host for the environmental risk assessment of genetically modified plants with virus resistance. This study was focused on whether new virus type may arise during serial inoculation of one point CP mutant of ZGMMV on the transgenic plants. In vitro transcripts derived from the non-functional CP mutant were inoculated onto the virus-tolerant and -susceptible transgenic N. benthamiana plants. Any notable viral symptoms that could arise on the inoculated transgenic host plants were not detected, even though the inoculation experiment was repeated a total of ten times. This result suggests that potential risk associated with the CP-expressiing transgenic plants may not be significant. However, cautions must be taken as it does not guarantee environmental safety of these CP-mediated virus-resistant plants, considering the limited number of the transgenic plants tested in this study. Further study at a larger scale is needed to evaluate the environmental risk that might be associated with the CP-mediated virus resistant plant.

• Korean Journal of Construction Engineering and Management
• /
• v.19 no.5
• /
• pp.81-89
• /
• 2018

The purpose of this study is to assess the risk and predict the contingency for modular plant construction projects. Considering the work characteristics of the modular plant, The adapted research method is that suggest models for assessment impact of risk and predict the contingency considering risk. Based on the proposed models, It is selected one modular plant construction project and assessment impact of risk factors and predicted the contingency. The results of this study are as follows: Assessment the probability of occurrence of risk factors and intensity of impact, and extract 15 important risk factors. These are classified as Engineering, Procurement, Fabrication, Transportation, Construction phases to consider the work characteristics of the modular plant. The predicted contingency is that 6.739%(Engineering 2.850%, Procurement 6.225%, Fabrication 6.211%, Transportation 4.165%, Construction 8.168%) to prepare the basic business expense. The model is used as a way to derive quantitative results in the decision-making process for risk management in construction projects.

• Journal of Ocean Engineering and Technology
• /
• v.30 no.6
• /
• pp.526-534
• /
• 2016

This study had the goal of designing onboard structures for a pre-pilot mining test (PPMT), which is required for the commercialization of the deep-sea mining industry. This PPMT is planned to validate the performance of a hydraulic lifting system and verify the concept of operating through a moon-pool in the east sea, Korea. All of the onboard equipment and facility were designed by KRISO. Because the test was performed at the first development, it is difficult to determine what risk will occur in the facility. Therefore, risk-based design is required in the facility for the PPMT, which includes the facility layout, failure mode and effect analysis (FMEA), and risk reduction plan. All of the expected performances of the lifting system itself and the onboard facilities were qualitatively validated using the risk-based design.

• Journal of Korean Society for Quality Management
• /
• v.50 no.1
• /
• pp.63-76
• /
• 2022

Purpose: The purpose of this study is to analyze the effects of risk perception and opportunistic behavior on project performance and the moderating effect of cooperation in this relationship through literature review to identify factors affecting the performance of large-scale nuclear power plant construction projects. Methods: This study conducted a survey on nuclear power plant construction project participants and verified the hypothesis using statistical methods. Results: The results of this study are as follows; First, risk perception appeared to have a positive effect on opportunistic behavior, and it was confirmed that opportunistic behavior among participating companies could occur even in nuclear power plant construction projects. Second, it has been proven that risk perception has a negative effect on project performance as suggested in previous studies. Third, in the relationship between opportunistic behavior and project performance, it was found that opportunistic behavior had a negative effect on project performance. Finally, cooperation was found to have a moderating effect on the relationship between performance risk and project performance. Conclusion: This study is a case of empirical analysis targeting nuclear power plant construction project workers, and provided a basis for reference in future related academic research and project implementation.

• Nuclear Engineering and Technology
• /
• v.41 no.6
• /
• pp.849-858
• /
• 2009

Risk caused by safety-critical instrumentation and control (I&C) systems considerably affects overall plant risk. As digitalization of safety-critical systems in nuclear power plants progresses, a risk model of a digitalized safety system is required and must be included in a plant safety model in order to assess this risk effect on the plant. Unique features of a digital system cause some challenges in risk modeling. This article aims at providing an overview of the issues related to the development of a static fault-tree-based risk model. We categorize the complicated issues of digital system probabilistic risk assessment (PRA) into four groups based on their characteristics: hardware module issues, software issues, system issues, and safety function issues. Quantification of the effect of these issues dominates the quality of a developed risk model. Recent research activities for addressing various issues, such as the modeling framework of a software-based system, the software failure probability and the fault coverage of a self monitoring mechanism, are discussed. Although these issues are interrelated and affect each other, the categorized and systematic approach suggested here will provide a proper insight for analyzing risk from a digital system.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.5
• /
• pp.125-136
• /
• 2019

This study investigated checked risk level before bid, actual risk level after award, contingency, and cost growth rate in the 124 international construction projects executed by Korean major companies. This study conducted comparative analysis by product type using rank analysis, ANOVA and correlation analysis. As a result, plant and civil projects have worse risk level than architecture projects not only in before bid but also in after award. Especially, country risk is the worst risk in both plant and civil projects, followed by project risk and capability risk. Also, although plant and civil projects reflect more contingency than architecture projects, contingency is not correlated with the checked risk level before bid. Lastly, the cost growth rate is correlated with the actual risk level in all product types. This study is expected to support in planning better practical risk management for international construction projects.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2014.05a
• /
• pp.192-193
• /
• 2014

Due to the decreasing domestic construction market since 2007, Korean construction companies are expanding overseas market. As a result, the international market share by Korea has been continuously increased and achieved 65.2 billion dollars in 2013. Despite of such visible results, profitability concerns are constantly arising. It is pointed out that the low-priced bid competition between Korean construction companies and various unpredictable risks are the most crucial factors which aggravate the profitability in the overseas projects. From this point of view, predicting the risks in advance and controling them could be the most important tasks to improve the profitability. This research proposed 202 risk factors with a hierarchy and relational database schema for power plant construction, which is based on the 24 risk classifications in previous research (Kim & Jung 2013). Proposed risk classification and relational database schema could be utilized as the basic data in risk management system.

• Corrosion Science and Technology
• /
• v.11 no.5
• /
• pp.179-183
• /
• 2012

As one of promising solutions to overcome high oil price and energy crisis, the construction market of high value-added LNG plants is spotlighted world widely. The purpose of this study is to introduce LNG-RBI system to develop risk assessment technology with RAM(Reliability, Availability, Maintainability) modules against overseas monopolization. After analyzing relevant specific features and their technical levels, risk assessment program, non-destructive reliability evaluation strategy and safety criteria unification class are derived as core technologies. These IT-based convergence technologies can be used for enhancement of LNG plant efficiency, in which the modular parts are related to a system with artificial optimized algorithms as well as diverse databases of facility inspection and diagnosis fields.