• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1997.11a
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• pp.68-77
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• 1997

국내에서도 정보시스템 보안관리가 체계화되면서 보안컨설팅 분야가 중요한 분야로 대두되고 있다. 보안관리에서 핵심부문인 위험분석에 대한 연구는 진행되어 왔으나 국내환경에 적용하기 어려운 점이 많았다. 특히 정보시스템에 대한 분석기준과 정량화가 전무한 국내에서 외국산 위험분석 도구 등을 이용한 분석결과가 객관성을 갖기가 매우 어렵다. 따라서 위험분석 자동화 분석도구의 개발과 적용을 통하여 이러한 문제점을 고찰하고 국내 환경에서 위험분석을 실시할 수 있는 환경을 위하여 필요한 해결방안을 살펴보았다.

• 정보화사회
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• s.189
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• pp.38-39
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• 2007

피포텍(www.pivotec.co.kr 대표 김기종)은 KT의 IT자회사인 케이티인포텍의 새 이름이다. 지난 2002년 민영화 된 이후 독자적인 종합IT 서비스 기업으로 거듭나기 위해 지난 해 3월 피보텍으로 사명을 바꿨다. 피보텍의 사업영역은 크게 기존 KT와 관계된 통신 분야와 컨설팅.시스템통합.IT아웃소싱 등 IT서비스 영역으로 나뉜다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.72-75
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• 2009

본 논문에서는 현재 국내에서 구축되어 있지 않은 3차원 BIM 기반 설계 및 시공 환경으로의 패러다임 전환에 대비하여 3차원 BIM 지향적 구조설계 프로그램인 SDP 제품군을 사용하여 BIM 프로그램들을 연동한 3차원 BIM 철근배근 자동생성 시스템을 개발하고자 한다. 현재 국내 건설업계의 치열한 수주경쟁으로 수익률저하/철근 등 자제가 폭등/인건비 상승/배근시공도 작성 인력 부족 및 신뢰성 저하 및 납기 지연 등의 기존 현황의 문제점 등을 SDP 제품군을 이용하여 구조설계/배근시공도 작성/정밀 골조물량 산출을 통합 지원하는 엔지니어링 컨설팅 환경을 구축하여 구조설계 시 V/E 동시 수행, 골조공사비 10% 절감, 배근시공도 및 물량산출 납기 최소로 단축, 배근시공도 정확성 향상/설계 및 시공 변경에 신속 대응, 공정 대비 발주 물량 관리 기능을 제공함으로써 고수익, 고효율, 고품질 의 엔지니어링 컨설팅 수행이 가능하다. 3차원 BIM 을 기반으로 철근현장가공에서 공장가공 전환 가속화로 국가적 물량 절감을 기대할 수 있고, 3차원 BIM 구조설계 및 골조공사 환경 구축 및 기술 자립을 통해 건설시공 분야의 기술력 향상을 기대할 수 있다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.41-54
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• 2019

Although retailers deals with a large number of single-term inventory items, but few cases have been considered in the areas of practical decision making. However, recent moves to strengthen fair trade have created a real need for single-period inventory decision-making problems. This study addresses the problem of ordering quantity decisions that are expected to maximize profits using classical newsvendor models. The research target is data on seasonal and perishable products from retail. We also use data from retailers to actually apply the newsvendor model and calculate the results to compare performance. It also suggests solutions for estimating demand for products sold in order to apply newsvendor models that utilize actual demand ratio versus forecast demand. This study would like to examine the effectiveness of this research through data analysis and make some suggestions for applying it to reality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.85-97
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• 2021

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.86-98
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• 2022

Recently, many studies have been conducted to improve quality by applying machine learning models to semiconductor manufacturing process data. However, in the semiconductor manufacturing process, the ratio of good products is much higher than that of defective products, so the problem of data imbalance is serious in terms of machine learning. In addition, since the number of features of data used in machine learning is very large, it is very important to perform machine learning by extracting only important features from among them to increase accuracy and utilization. This study proposes an anomaly detection methodology that can learn excellently despite data imbalance and high-dimensional characteristics of semiconductor process data. The anomaly detection methodology applies the LIME algorithm after applying the SMOTE method and the RFECV method. The proposed methodology analyzes the classification result of the anomaly classification model, detects the cause of the anomaly, and derives a semiconductor process requiring action. The proposed methodology confirmed applicability and feasibility through application of cases.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.1-8
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• 2024

This study analyzed the impact of Higher-order resources on profit sustainability for domestic companies using a mathematical statistical model. Higher-order resources refer to resources that do not directly affect profits but influence other resources that directly contribute to profits. As a result of analysis using 30 years of actual data from more than 650 domestic companies, the average duration of competitive advantage including high-order resources was found to be about twice as long as the period suggested by the autoregressive model excluding high-order resources. Through this, if companies want to earn more profits over a long period of time than their competitors, they must not only possess resources that are more valuable, rare, difficult to imitate, and non-substitutable compared to their competitors, but also that higher-order resources can contribute to changes in these resources over time. It was confirmed that it must lead the long-term profit difference. High-level resources include strategic planning, mergers and acquisitions (M&A) capabilities, and good forecasting.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.33-37
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• 2019

According to the enforcement of the Cloud Computing Development and User Protection Act, a new paradigm called as Cloud Computing is coming to the fore among public and private domestic enterprises. Therefore, domestic companies should develop SaaS products specialized for the domestic market and try to preempt the IaaS market ahead of global companies. Now we are facing a necessity to combine all the cloud systems in Korean government to operate seamlessly in a harmony. In this paper, we will look at the prospect of future development of related industry through cloud computing concept and G-cloud's cloud management system (G-CMS). G-CMS can be seen as the first system to comprehensively manage heterogeneous Unix virtualization systems. G-CMS can also save costs by managing heterogeneous virtualization systems in data centers.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.147-152
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• 2019

Infrastructure is rapidly growing as Internet business grows with the latest IT technologies such as IoT, BigData, and AI. However, in most companies, a limited number of people need to manage a lot of hardware and software. Therefore, Polestar Enterprise Management System(PEMS) is applied to monitor the system operation status, IT service and key KPI monitoring. Real-time monitor screening prevents system malfunctions and quick response. With PEMS, you can see configuration information related to IT hardware and software at a glance, and monitor performance throughout the entire end-to-end period to see when problems occur in real time.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.217-228
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• 2018

It is aimed at providing a guide for effective ERP implementation strategy in view of the need for differentiation and cost advantage strategy from competitors in introducing ERP centered on SMEs. The results show that differentiation and cost superiority and service quality are dependent on the introduction performance and mediating effect. First, the differentiation or cost advantage strategy supports the previous research results in financial performance. However, in the differentiation strategies, only the non-financial aspects were noted. Second, the differentiation and cost advantage strategy were analyzed to have financial performance only in the assurance of service quality factor and the remaining service quality was not significant in the introduction performance. Third, the mediating effect of consulting service quality was analyzed in terms of differentiation or cost advantage Did not do it. In conclusion, system construction is different from financial perspective in terms of construction strategy. In service quality factor, it affects the confidence that supplier provides, knowledge and confidence, and ability to give faith.