• 한국전자거래학회지
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• 제20권2호
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• pp.125-140
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• 2015

공급사슬에서 발생한 위험의 영향력은 위험이 발생한 영역에만 국한되는 것이 아니라 연결구조를 따라 네트워크 전체에 퍼지게 된다. 이러한 위험의 전파 현상으로 인해 공급사슬은 네트워크 연결 구조에 의해 위험의 영향을 받게 될 가능성이 달라진다. 따라서 공급사슬 네트워크를 설계하는 시점에 구조적 연결성을 고려하여 내외부 위험의 발생에 따른 비용을 최소화할 수 있어야 한다. 일반적으로 매개 중심성은 위험의 발생가능성과 영향력의 확산을 설명하는 지표로 해석할 수 있다. 본 연구에서는 구조적 취약성 관점에서의 재해석과 수정을 통해 서로 다른 공급사슬의 취약성을 정량적으로 비교하고, 보다 안정적인 네트워크 구조를 선택할 수 있는 방안을 제시한다.

• 산업공학
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• 제24권2호
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• pp.119-127
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• 2011

Most companies have been increasing temporary work projects to maximize the usage of their resources. They also have been developing the effective techniques for analyzing and managing the state of the projects. In order to monitor the state of a project in real-time and predict the project's future state more accurately, this paper suggests the Bayesian Network (BN) as a tool for discovering the causes of project risk and presenting the failure probability of the project. The proposed BN modeling method with consideration of the Earned Value Management (EVM) method shows how to induce the predictive and conditional probability of the risk occurrence in the future. The advantages of the suggested model are (1) that the cause of a project risk can be easily figured out via the BN, (2) that the future value of the project can be sufficiently increased by updating relevant components of the project, and (3) that more credible prediction can be made in the similar and future situation by using the data obtained in current analysis. A numerical example is also given.

• 대한토목학회논문집
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• 제40권2호
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• pp.167-175
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• 2020

1979년 Herman과 Prigogine에 의해 제안된 Two-fluid Model은 도시부 네트워크의 운영성을 설명하는 거시적인 모형으로서 네트워크 내 정지차량 비율과 평균 주행속도의 관계에 기초하고 있다. 이러한 Two-fluid Model의 파라미터는 교통류 특성에 따라 변화하므로 파라미터를 통한 운영성 분석 시 교통류 상태 변화를 규명하는 단계가 수반되어야 한다. 이에 본 연구는 Two-fluid Model의 파라미터를 활용하여 강우에 따른 교통사고 위험도를 비교하였고, 이로 인한 주행 행태가 도시부 네트워크의 운영성에 영향을 미침을 확인하였다. 먼저 Two-fluid Model 파라미터 추정결과, 맑은 날 대비 비가 온 날의 네트워크 운영성이 저하된 것으로 나타났다. 이후 운전자의 교통사고 위험인지 모형 계수를 산출하고 강우 여부에 따른 교통사고 위험도와 그에 따른 주행 행태 변화를 분석하였다. 오전·오후 시간대 모두 운전자는 맑은 날과 동일한 속도를 유지하였을 때 비가 온 날의 교통사고 위험도가 높을 수 있기 때문에, 위험도를 낮추기 위해 주행속도를 감속하는 경향을 보였다. 그러나 맑은 날 보다 비가 온 날의 위험도는 여전히 높은 것으로 파악되었다. 향후에는 도시부 교통망의 거시적 운영성과 사고 위험도 간의 관계를 보다 다양한 네트워크에서 분석하고 동시에 개선할 수 있는 방안을 연구해볼 필요가 있겠다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.261-264
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• 2008

IPv6 has been proposed and deployed to cater the shortage of IPv4 addresses. It is expected to foresee mobile phones, pocket PCs, home devices and any other kind of network capable devices to be connected to the Internet with the introduction and deployment of IPv6. This scenario will bring in more challenges to the existing network infrastructure especially in the network security area. Firewalls are the simplest and the most basic form of protection to ensure network security. Nowadays, firewalls' usage has been extended from not only to protect the whole network but also appear as software firewalls to protect each network devices. IPv6 and IPv4 are not interoperable as there are separate networking stacks for each protocol. Therefore, the existing states of the art in firewalling need to be reengineered. In our context here, we pay attention only to the IPv6 firewalls configuration anomalies without considering other factors. Pre-evaluation of security risk is important in any organization especially a large scale network deployment where an add on rules to the firewall may affect the up and running network. We proposed a new probabilistic based model to evaluate the security risks based on examining the existing firewall rules. Hence, the network administrators can pre-evaluate the possible risk incurred in their current network security implementation in the IPv6 network. The outcome from our proposed pre-evaluation model will be the possibilities in percentage that the IPv6 firewall is configured wrongly or insecurely where known attacks such as DoS attack, Probation attack, Renumbering attack and etc can be launched easily. Besides that, we suggest and recommend few important rules set that should be included in configuring IPv6 firewall rules.

• Industrial Engineering and Management Systems
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• 제12권2호
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• pp.103-111
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• 2013

This paper discusses how to manage supply chain disruption risks from natural disasters or other low-likelihood-high-impact risk drivers. After the catastrophic earthquake in Eastern Japan and the severe flood in Thailand, most companies have been attempting to re-establish the business continuity plan to prevent their supply chain from disruption. However, the challenges for managers and individual risks are often interrelated, and thus, actions that mitigate one risk can end up being no contribution as a whole. In this paper, we describe a framework for assessing how much impact individual mitigation strategies have on the entire supply chain protection against disruption, using network reliability. We propose three categories of risk-mitigation approaches: Stabilization, Absorption, and Duplication. We analyze the situation under which each of these strategies is the best suitable. With a clear understanding of relations between these mitigation strategies and the entire supply chain risks, managers can select effective risk-reduction approaches to their supply chain.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.493-495
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• 2016

농축산 전염병 위기완화서비스 모델구조 및 용용모델은 모바일, 인터넷등 네트워크 기반에서 전염병과 같은 위기 발생 지점과 위기 영향 영역 사이에 위기완화 및 위기 통제기능을 두어 위기완화를 대처해 나가는 체계 및 응용모델을 제시한다.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.172-176
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• 2021

This study is conducted with an educational institution to minimize the potential security hazards to an acceptable level where the vulnerabilities and threats are revealed in this institution. The paper provides a general structure for the risk management process in educational institutions, and some recommendation that increases security levels is presented.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.77-83
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• 2023

This research is conducted to minimize the potential security risks of conducting online exams to an acceptable level as vulnerabilities and threats to this type of exam are presented. This paper provides a general structure for the risk management process and some recommendations for increasing the level of security.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.99-100
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• 2022

As the danger of exposure to the asbestos has been revealed, the importance of demolition asbestos in existing buildings has been raised. Extensive body of study has been conducted to evaluate the risk of demolition asbestos, but there were confined types of variables caused by not reflecting categorical information and limitations in collecting quantitative information. Thus, this study aims to derive a model that predicts the risk in workplace of demolition asbestos by collecting categorical and continuous variables. For this purpose, categorical and continuous variables were collected from asbestos demolition reports, and the risk assessment score was set as the dependent variable. In this study, the influence of each variable was identified using logistic regression, and the risk prediction model methodologies were compared through decision tree regression and artificial neural network. As a result, a conditional risk prediction model was derived to evaluate the risk of demolition asbestos, and this model is expected to be used to ensure the safety of asbestos demolition workers.

• 수산해양기술연구
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• 제60권2호
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• pp.170-178
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• 2024

This study aimed to quantitatively analyze the risk using data from 329 safety accidents that occurred in aquaculture fisheries management vessels over the recent five years (2018-2022). For quantitative risk analysis, the Bayesian network proposed by the International Maritime Organization (IMO) was used to analyze the risk level according to the fishing process and cause of safety accidents. Among the work processes, the fishing process was analyzed to have the highest risk, being 12.5 times that of the navigation, 2.7 times that of the maintenance, and 8.8 times that of the loading and unloading. Among the causes of accidents, the hull and working environment showed the highest risk, being 1.7 times that of fishing gear and equipment, 4.7 times that of machinery and equipment, and 9.4 times that of external environment. By quantitatively analyzing the safety accident risks for 64 combinations of these four work processes and four accident causes, this study provided fundamental data to reduce safety accidents occurring in aquaculture fisheries management vessels.