• Proceedings of the Safety Management and Science Conference
• /
• 2003.05a
• /
• pp.37-42
• /
• 2003

Recently, information systems(IS) outsourcing has become a very important management strategy of implementing IS and many studies on the IS outsourcing approach had been largely performed in the organizations, but it isn't still show how to outsource the IS functions and how to decide quantitative magnitude for judgement. To offer a quantitative decision model that can help practitioners set priority and reap the most benefits from outsourcing, we show outsourcing structure including 3 factors(strategic benefit, economic benefit and technological benefit) and sub-levels which. is different from the Yang and Huang's model. Also, we compute the weight of alternatives using analytic hierarchy process to find a priority of the IS outsourcing. As a result of analysis, we suggest systematic steps and quantitative model to increase the precision of decision making.

• Communications for Statistical Applications and Methods
• /
• v.25 no.6
• /
• pp.605-618
• /
• 2018

Risk management has been a crucial part of the daily operations of the financial industry over the past two decades. Value at Risk (VaR), a quantitative measure introduced by JP Morgan in 1995, is the most popular and simplest quantitative measure of risk. VaR has been widely applied to the risk evaluation over all types of financial activities, including portfolio management and asset allocation. This paper uses the implementations of multivariate GARCH models and copula methods to illustrate the performance of a one-day-ahead VaR prediction modeling process for high-dimensional portfolios. Many factors, such as the interaction among included assets, are included in the modeling process. Additionally, empirical data analyses and backtesting results are demonstrated through a rolling analysis, which help capture the instability of parameter estimates. We find that our way of modeling is relatively robust and flexible.

• Journal of the Korean Society of Safety
• /
• v.28 no.1
• /
• pp.40-46
• /
• 2013

In the chemical process industries, accidents have a high potential and large effects on catastrophic results. Therefore the safety management for accident prevention plays a crucial role to guarantee the process safety. For these reasons, many systematic methods for safety management system have been widely employed in the fields of chemical processes. PSM (Process safety management) is one of most representative methods. The audit system, which is one of PSM system components, evaluates the performance of PMS system. However, most existing safety audit systems are not systematic and these are performed based on knowledges and experiences of various specialist. Moreover, the safety audit is only performed based on each independent technical component. So, the results of safety audit are not a quantitative index but only a series of commentaries. Finally, it is very difficult to obtain the comparison with other plants or industries. In this study, the novel systematic method and index-based accident database of auditing safety management systems for quantitative assessment are proposed. First, the elements of safety audit replace technical methods to categories of accident database. The F-N curve of each category for accident database is employed to derive the index for quantitative assessment. The Accidental Factor Risk Index (AFRI) is suggested for evaluating the effect of each element in accident database and safety audit system. The safety audit can be modified according to the proposed index.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2020.11a
• /
• pp.67-68
• /
• 2020

Real-time information on the construction project required by the owner make the project's transparency and overall productivity will be improved. This study analyzes domestic and foreign patents for construction project management to identify trends in technology development, construct cloud-based construction project management system solution UI, and proposes functions and services for each module. Trend research is conducted through patent search, and the analysis is divided into quantitative analysis which means quantitative statistics and qualitative analysis which means the technical contents of each patent. The construction project management system solution is based on smart devices at small and medium-sized sites, allowing both the owner and the construction personnel to share information.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.3
• /
• pp.101-110
• /
• 2018

In order to The certification of CMMI level is positioned as the most important part of software development company competitiveness. From that point, you will be able to find the various CMMI based process improvement activities of the companies in the above. This paper presents the activity method, such as organization, process application method for the CMMI based process improvement, through the field application. Based on that, this paper enables you to understand the model application method. And we also carry out the application case analysis of defect management with the schedule/effort analysis and colleague's check activity to show the improvement effectiveness, based on the quantitative analysis. And we present the problem and improvement part of real application. The result of this paper will be used to understand the effectiveness of quantitative process management, mentioned in the CMM. And furthermore, we also expect this paper to be useful for the organization to improve the process based on CMM in the future.

• Proceedings of the Safety Management and Science Conference
• /
• 2001.11a
• /
• pp.175-179
• /
• 2001

• Proceedings of the Korea Society of Information Technology Applications Conference
• /
• 2007.11a
• /
• pp.137-137
• /
• 2007

• Proceedings of the Korean Nuclear Society Conference
• /
• 2005.10a
• /
• pp.165-166
• /
• 2005

• Journal of Korean Society for Quality Management
• /
• v.21 no.2
• /
• pp.232-241
• /
• 1993

The objective of this study is to develop an algorithm in the consideration of importance Weight and desirable shape of specific department in the computerized layout planning. Quantitative relationship chart between each department was used. It is decided that the priority among the department as to variable factors and the optimum quantitative relationship chart was obtained using by the Weighting method. The algorithm presented in this study could generate more practical layout for the actual design problem.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1223-1230
• /
• 2009

In the construction industry, Case-Based Reasoning (CBR) is considered to be the most suitable approach and determining the attribute weights is an important CBR problem. In this paper, a method is proposed for determining attribute weights that are calculated with attribute relation. The basic items of consideration were qualitative and quantitative influence factors. These quantitative factors were related to the qualitative factors to develop a Cost Drivers-structural equation model which can be used to estimate construction cost by considering attribute weight. The process of determining the attribute weight-structural equation model consists o 4 phases: selecting the predominant Cost Drivers for the SEM, applying the Cost Driers in the SEM, determining and verifying the attribute weights and deriving the Cost Estimation Equation. This study develops a cost estimating technique that complements the CBR method with a Cost Drivers-structural equation model which can be actively used during the schematic estimating phases of construction.