• 정보처리학회논문지D
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• 제12D권7호
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• pp.947-956
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• 2005

소프트웨어(S/W) 재공학은 S/W의 생명주기의 연장을 통한 지속적인 비즈니스 가치 창출 및 궁극적인 S/W ROI(Return on Investment) 확대에 가장 효과적인 기술 중 하나이다. 그럼에도 불구하고 S/W 재공학은 비용 소모적이며, 그 효과 역시 미흡한 어려운 작업으로 인식되어 왔다. 사실, 빈번히 발생하는 유지보수 요구에 대해 레거시 시스템들을 일치성 없이 그때그때 확장, 수정함으로써, 기존 시스템 본연의 의도를 상실 시켜 S/W시스템 아키텍쳐가 존재하지 않는 난잡한 시스템으로 전환시키는 경우가 종종 발생하고 있다. 더욱이 급격히 변하는 시스템 환경과 복잡 다양해지는 고객의 요구를 충족시킬 수 있는 새로운 S/W 시스템들을 매번 적시에(Time-to-Market) 제공하기는 거의 불가능하다. 따라서, 새로운 IT 기술의 출현과 비즈니스 정보 모델의 다양한 변경, 시스템 처리 로직의 급격한 복잡성 증가 등의 변화에 적절히 대처하기 위해서는 조직의 주요 자산으로서 레거시 시스템의 활용을 극대화할 수 있는 체계적인 재공학이 요구된다. 그러므로 본 논문에서는 레거시 시스템들의 가치를 극대화할 수 있는 체계적인 재공학 방법론 제공을 목적으로, 재공학의 초기 계획 단계에서부터 역공학 과정과 컴포넌트 변환 단계를 포함하는 재공학 프로세스와 그에 따른 구체적인 작업과 기법 및 산출물들을 명시한 레거시 시스템의 컴포넌트화 프로세스인 마르미-RE를 제안하고 간단한 사례적용 과정을 제시한다.

• 한국시뮬레이션학회논문지
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• 제16권1호
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• pp.49-57
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• 2007

서비스 지향 아키텍처(SOA)는 최근 IT환경에서 급격한 성장을 하고 있다. 거대하고 복잡한 분산 환경에서 재빠른 변화에 적용하기위해 SOA를 기반으로 한 인프라 구축을 기업에서 많은 관심을 가지게 되었기 때문이다. SOA는 인터페이스와 서비스간의 계약을 통하여 서로 다른 기능을 단위로 하는 응용프로그램이 상호 연관성을 가지는 컴포넌트 모델이다. 본 논문에서는 SOA와 핵심 웹서비스 표준에 관계된 개념을 웹서비스에 적용하기 위한 아키텍처를 설계하고, 그 내용에 따라 SOA를 기본으로 한 웹 서비스 시스템을 모델링 한다. 웹서비스는 XML과 SOAP를 기본으로 도입하여, 응용프로그램과 비즈니스 서비스의 설계를 구현한다. 이렇게 설계된 SOA기반의 웹서비스를 통하여 상호 운영성, 재 사용성, 확장성 및 유연한 비즈니스 프로세스 처리와 같은 SOA의 각 특징이 어떻게 적용되는지 확인하고, 서비스 모델 프로세스에 대한 방법과 SOA기반의 웹서비스의 아키텍처 설계방법을 통하여, 서비스 간의 느슨한 결합(Loose Coupling)으로 중립성을 유지하는 웹 서비스 모델링을 제시한다.

• 산업경영시스템학회지
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• 제43권4호
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• pp.93-106
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• 2020

This research explores how imported automobile companies can develop their strategies to improve the outcome of their recalls. For this, the researchers analyzed patterns of recall demand, classified recall types based on the demand patterns and examined response strategies, considering plans on how to procure parts and induce customers to visit workshops, recall execution capacity and costs. As a result, recalls are classified into four types: U-type, reverse U-type, L- type and reverse L-type. Also, as determinants of the types, the following factors are further categorized into four types and 12 sub-types of recalls: the height of maximum demand, which indicates the volatility of recall demand; the number of peaks, which are the patterns of demand variations; and the tail length of the demand curve, which indicates the speed of recalls. The classification resulted in the following: L-type, or customer-driven recall, is the most common type of recalls, taking up 25 out of the total 36 cases, followed by five U-type, four reverse L-type, and two reverse U-type cases. Prior studies show that the types of recalls are determined by factors influencing recall execution rates: severity, the number of cars to be recalled, recall execution rate, government policies, time since model launch, and recall costs, etc. As a component demand forecast model for automobile recalls, this study estimated the ARIMA model. ARIMA models were shown in three models: ARIMA (1,0,0), ARIMA (0,0,1) and ARIMA (0,0,0). These all three ARIMA models appear to be significant for all recall patterns, indicating that the ARIMA model is very valid as a predictive model for car recall patterns. Based on the classification of recall types, we drew some strategic implications for recall response according to types of recalls. The conclusion section of this research suggests the implications for several aspects: how to improve the recall outcome (execution rate), customer satisfaction, brand image, recall costs, and response to the regulatory authority.

• 유통과학연구
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• 제14권3호
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• pp.63-71
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• 2016

Purpose - A variety of indicators are used for the diagnosis of economic situation. However, most indicators explain the past economic situation because of the time difference between the measurement and announcement. This study aims to argue for the resurrection of an idea: electricity demand can be used as an indicator of economic activity. In addition, this study made an endeavor to develop a new Real Business Index(RBI) which could quickly represent the real economic condition based on the sales statistics of industrial and public electricity. Research design, data, and methodology - In this study monthly sales of industrial and public electricity from 2000 to 2015 was investigated to analyze the relationship between the economic condition and the amount of electricity consumption and to develop a new Real Business Index. To formulate the Index, this study followed next three steps. First, we decided the explanatory variables, period, and collected data. Second, after calculating the monthly changes for each variable, standardization and estimating the weighted value were conducted. Third, the computation of RBI finalized the development of empirical model. The principal component analysis was used to evaluate the weighted contribution ratio among 3 sectors and 17 data. Hodrick-Prescott filter analysis was used to verify the robustness of out model. Results - The empirical results are as follows. First, compatibility of the predictability between the new RBI and the existing monthly cycle of coincident composite index was extremely high. Second, two indexes had a high correlation of 0.7156. In addition, Hodrick-Prescott filter analysis demonstrated that two indexed also had accompany relationship. Third, when the changes of two indexes were compared, they were found that the times when the highest and the lowest point happened were similar, which suggested that it is possible to use the new RBI index as a complementing indicator in a sense that the RBI can explain the economic condition almost in real time. Conclusion - A new economic index which can explain the economic condition needs to be developed well and rapidly in a sense that it is useful to determine accurately the current economic condition to establish economic policy and corporate strategy. The salse of electricity has a close relationship with economic conditions because electricity is utilized as a main resource of industrial production. Furthermore, the result of the sales of electricity can be gathered almost in real time. This study applied the econometrics model to the statistics of the sales of industrial and public electricity. In conclusion, the new RBI index was highly related with the existing monthly economic indexes. In addition, the comparison between the RBI index and other indexes demonstrated that the direction of the economic change and the times when the highest and lowest points had happened were almost the same. Therefore, this RBI index can become the supplementary indicator of the official indicators published by Korean Bank or the statistics Korea.

• 산경연구논집
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• 제8권4호
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• pp.15-21
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• 2017

Purpose - In this work, we examined the causal relationship between credit loans from households (CLH), loan collateralized with housing (LCH) and an interest of certificate of deposit (ICD) among others in South Korea. Furthermore, the optimal forecasts on the underlying model will be obtained and have the potential for applications in the economic field. Research design, data, and methodology - A total of 31 realizations sampled from the 4th quarter in 2008 to the 4th quarter in 2016 was chosen for this research. To achieve the purpose of this study, a regression model with correlated errors was exploited. Furthermore, goodness-of-fit measures was used as tools of optimal model-construction. Results - We found that by applying the regression model with errors component ARMA(1,5) to CLH, the steep and lasting rise can be expected over the next year, with moderate increase of LCH and ICD. Conclusions - Based on 2017-2018 forecasts for CLH, the precipitous and lasting increase can be expected over the next two years, with gradual rise of two major explanatory variables. By affording the assumption that the feedback among variables can exist, we can, in the future, consider more generalized models such as vector autoregressive model and structural equation model, to name a few.

• ETRI Journal
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• 제25권1호
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• pp.34-40
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• 2003

This paper considers a TMN-based management system for the management of public ATM switching networks using a four-level hierarchical structure consisting of one network management system, several element management systems, and several agent-ATM switch pairs. Using Jackson's queuing model, we analyze the effects of one TMN command on the performance of the component ATM switch in processing local calls. The TMN command considered is the permanent virtual call connection. We analyze four performance measures of ATM switches- utilization, mean queue length and mean waiting time for the processor directly interfacing with the subscriber lines and trunks, and the call setup delay of the ATM switch- and compare the results with those from Jackson's queuing model.

• Journal of Information Technology Applications and Management
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• 제22권3호
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• pp.1-18
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• 2015

Financial markets are characterized by large numbers of complex and interacting factors which are ill-understood and frequently difficult to measure. Mathematical models developed in finance are precise formulations of theories of how these factors interact to produce the market value of financial asset. While these models are quite good at predicting these market values, because these forces and their interactions are not precisely understood, the model value nevertheless deviates to some extent from the observable market value. In this paper we propose a framework for augmenting the predictive capabilities of mathematical model with a learning component which is primed with an initial set of historical data and then adjusts its behavior after the event of prediction.

• 경영과정보연구
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• 제27권
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• pp.131-147
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• 2008

The study examines common component existing in five Asian countries from 1991 to 2007. To do this, the daily stock market indices of Korea, Malaysia, Thailand, Indonesia, and the Philippines were used. Using a Vector Autoregressive Model this paper analyzes causal relations and dynamic interactions between five Asian stock markets. The findings in this study indicate that level of five Asian stock markets' stock return linkages are low. First, from the statistics for pair-wise Granger causality tests, I find Granger-causal relationship between Korea and Indonesia and between Malaysia and and Indonesia. Second, from the results of response function and the statistics of variance decomposition, I find that week shocks to Korean stock market return on Malaysia, Indonesia, Thailand, and the Philippines stock market returns. The results indicate increased Asian stock market linkages but the level is very low. This implies that the benefits of diversification within the five Asian stock markets are still existed.

• 한국전자거래학회지
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• 제24권2호
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• pp.165-178
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• 2019

스마트공장 등으로 변화하는 경쟁 환경 속에서 제조시스템의 현 수준을 측정하고 개선 목표와 과제를 도출, 추진하여 제조경쟁력의 수준을 높이는 것이 기업의 기본적 활동이 되고 있다. 그러나 기업의 미래 제조경쟁력을 갖추기 위한 구성요소 분석과 성숙도평가에 관한 연구는 부분적으로 진행되고 있고 초기단계에 있다. 본 연구는 제조시스템에 대한 다양한 관점의 모델, 개발프로세스, 프레임워크 등에 대한 기존 연구를 분석하였다. 또한 스마트공장 관련 성숙도평가 연구들을 통해 미래 제조시스템의 구성요소들을 도출하여 구조모델을 설계하였다. 평가모델, 변환모델까지 포함하는 메타모델을 설계하고 프레임워크 개발 프로세스를 도출하여 미래 제조시스템의 성숙도평가를 위한 통합적 프레임워크를 제안하였다. 또한 실제 스마트공장 평가에 적용하여 검증하였다. 제시된 프레임워크는 미래 제조시스템의 성숙도평가를 위한 기반 도구로 활용될 수 있을 것이다.

• Wind and Structures
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• 제38권5호
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• pp.355-366
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• 2024

Severe natural multi-hazard events can cause damage to infrastructure and economic losses of billions of dollars. The challenges of modeling these losses include dependency between hazards, cause and sequence of loss, and lack of available data. This paper presents and explores multi-hazard loss modeling in the context of the combined wind and rain vulnerability of mid/high-rise buildings during hurricane events. A component-based probabilistic vulnerability model provides the framework to test and contrast two different approaches to treat the multi-hazards: In one, the wind and rain hazard models are both decoupled from the vulnerability model. In the other, only the wind hazard is decoupled, while the rain hazard model is embedded into the vulnerability model. The paper presents the mathematical and conceptual development of each approach, example outputs from each for the same scenario, and a discussion of weaknesses and strengths of each approach.