• 한국경영과학회지
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• 제39권3호
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• pp.23-40
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• 2014

This paper measures the operational efficiency of domestic online game companies and analyze its trends and patterns by using data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. 14 online game companies are selected as DMUs and three inputs (number of employees, capital and asset) and three outputs (sales, operating profit and net profit) are selected as DEA variables. First, the output-oriented BCC model and super-efficiency model are employed to measure the static operational efficiency of the online game companies from 2003 to 2012. We also conduct the dynamic analysis with DEA window model to capture the trends of their operational efficiency influenced by internal and external environmental changes. The results are expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

• 유통과학연구
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• 제17권10호
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• pp.73-81
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• 2019

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

• Journal of applied mathematics & informatics
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• 제12권1_2호
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• pp.233-241
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• 2003

The rolling schedule procedure has been an important part of the Enterprise Resource Planning (ERP) systems. The performance of production planning in an ERP system depends on the selection of the three parameters in rolling schedule procedure: frozen interval, replanning interval, and planning horizon (forecast window). This research investigated, in a theoretical approach, the combined impact of selections of those three parameters. The proven mathematical theorems provided guidance to re-duction of instability (nervousness) and to seek the optimal balance between stability and responsiveness of ERP systems. Further the theorems are extended to incorporate the cost structure.

• 시스템엔지니어링학술지
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• 제3권1호
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• pp.41-48
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• 2007

This paper presents a design methodology for developing a new push scooter. A case study is clone with effective planning processes to ensure the product quality under the different phases of a product design process. Parametric model based design process simulation and optimization is implemented by using ANSYS application tool. The relationship matrix and decision matrix are drawn by using several methods. The simulation results for deterministic design and robust design are compared. This entire design process phase can support the design and quality improvements for a new product development.

• 한국산학기술학회논문지
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• 제11권8호
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• pp.3083-3093
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• 2010

최근 3D파라메트릭 모델링 기법의 발달에 힘입어 비정형 건축 프로젝트가 증가하고 있다. 기존의 BIM 시뮬레이션 의사결정 지원시스템은 가상현실에서 구현되기 때문에 효율적이지 못했다. 이에 본 연구에서 효율적 의사결정지원을 위한 증강현실 기반 시뮬레이션 시스템인 "AR naviX"를 개발하였다. 이 시뮬레이션 시스템은 현장사진과 동영상자료 혹은 레이져 스캐닝 데이터를 활용하여 사용자가 보다 높은 현실감과 몰입감을 느낄 수 있도록 함으로써, 의사결정에 소비되는 시간을 단축시킨다.

• Investigative Magnetic Resonance Imaging
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• 제13권2호
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• pp.127-136
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• 2009

목적: 정상인을 대상으로 과제의 규칙을 모른체 의사결정를 하는 경우 시간에 따른 뇌활성 영역의 차이를 lowa Gambling 과제를 수행하는 자기공명 뇌기능 영상을 사용하여 알아보고자하였다. 대상 및 방법: 14명의 오른손잡이 정상인(여자 5명, 남자 9명, 평균나이 26.8세)을 대상으로 100개로 구성된 lowa Gambling과제를 수행하는 동안 자기공명 뇌기능영상을 획득하였다. GE 3.0T 자기공명영상 장치에서 혈액산소포화 의존(BOLD)기법을 사용하여 EPI 데이터 (에코시간 40 ms, 반복시간 2000 ms, 매트릭스 $64{\times}64$)를 획득한 후 MATLAB버전 7.2 (The Mathworks Inc., Natick, MA, USA)와 Statistical Parametric Mapping (SPM 2; Wellcome Department of Imaging Neuroscience, London, UK) 분석툴을 이용하여 총 100개 중 20개 단위로 구성된 5개의 블록으로 나누어 분석하였다. 결과: 과제 수행초기 블록에서는 위쪽 중앙 전전두뇌엽에서의 뇌활성화를 나타내고 과제를 수행해 감에 따라 뇌활성화 영역이 점차 중앙 전전두뇌엽의 아래족으로 이동하는 결과를 나타내었다 (p < 0.005). 결론: 의사결정 과제의 규칙을 모르는 경우 과제를 수행하며 규칙을 알아가는데는 위쪽 중앙 전전두뇌엽의 영역을 사용하고 과제의 규칙을 깨달은 다음 의사결정을 수행하는 경우에는 아래쪽 중앙 전전두뇌엽의 영역을 사용함을 알수 있었다.

• 한국산학기술학회논문지
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• 제20권12호
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• pp.475-481
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• 2019

건축물의 생애주기 전반에 걸쳐 중요한 영향을 줄 수 있는 건축물의 성능과 관련하여, 설계 초기단계에서 계획안의 환경성능을 검토할 수 있는 디자인 피드백의 중요성이 점차 부각되고 있다. 그런데, 건설산업 특성에 따른 전문분야 도메인 구분으로 인해, 서로 다른 어플리케이션 사이에서 데이터 호환성의 문제에 따른 제약이 많은 실정이다. 이에, 지식기반 디자인 방법론에 기반하여, 본 연구는 건축물의 형상과 연동 가능한 BIM 객체의 기하정보에 대한 상관관계 정보체계를 제안하도록 한다. 이를 위해, 오피스 건축물의 기획 및 계획설계 단계를 대상으로, 상용 BIM 시스템인 Autodesk Revit을 활용하여 매스 형상에 파라메트릭 제약조건을 설정한다. 나아가, 오피스 매스의 형상정보와 양방향 프로세스로 연동가능하도록, Autodek Green Building Studio 엔진에서 분석가능한 해석모델로 변환함으로써, 파라미터에 의한 형태 변형에 따른 다양한 대안들에 대하여 실내조도 성능을 시뮬레이션한다. 이를 통해, 디자인 조건들을 만족시켜주는 범위 내에서 적절한 환경성능의 검토가 가능한 정량적인 의사결정 방법을 제시하고자 한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.707-716
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• 2009

The role of cost modeller is to facilitate the design process by systematic application of cost factors so as to maintain a sensible and economic relationship between cost, quantity, utility and appearance which thus helps in achieving the client's requirements within an agreed budget. There are a number of research on cost estimates in the early design stage based on the improvement of accuracy or impact factors. It is common knowledge that cost estimates are undertaken progressively throughout the design stage and make use of the information that is available at each phase, through the related research up to now. In addition, Cost estimates in the early design stage shall analyze the information under the various kinds of precondition before reaching the more developed design because a design can be modified and changed in all process depending on clients' requirements. Parametric cost estimating models have been adopted to support decision making in a changeable environment, in the early design stage. These models are using a similar instance or a pattern of historical case to be constituted in project information, geographic design features, relevant data to quantity or cost, etc. OLAP technique analyzes a subject data by multi-dimensional points of view; it supports query, analysis, comparison of required information by diverse queries. OLAP's data structure matches well with multiview-analysis framework. Accordingly, this study implements multi-dimensional information system for case based quantity data related to design information that is utilizing OLAP's technology, and then analyzes impact factors of quantity by the design criteria or parameter of the same meaning. On the basis of given factors examined above, this study will generate the rules on quantity measure and produce resemblance class using clustering of data mining. These sorts of knowledge-base consist of a set of classified data as group patterns, of which will be appropriate stand on the parametric cost estimating method.

• 한국전산구조공학회논문집
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• 제27권5호
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• pp.451-458
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• 2014

본 연구는 초고층 건축물의 기본계획을 바탕으로 철근콘크리트 코어 벽체의 두께를 최적화하여 실시설계에 적용하는 과정에서, StrAuto를 통한 수많은 케이스의 반복해석을 통하여 최적 케이스를 찾아내어, 설계 방향과 한계에 대한 가이드라인을 설정하기 위한 프로세스를 구축하기 위한 실용화 연구이다. 코어 벽체의 두께와 강도를 변경하면서 StrAuto를 통해 반복해석을 수행하고 해석결과를 시각적으로 표현하여 설계자가 어떤 방향으로 설계를 진행할지를 결정하는데 중요한 참고자료로 활용하도록 프로세스를 정립하였다. 본 논문은 기본적인 구조설계가 완료된 상태에서 설계자가 원하는 방향에 대한 수많은 케이스를 빠르게 검토하여 올바른 실시 설계 방향을 설정하는 프로세스를 구축했다는 점에서 큰 의의를 찾을 수 있다.

• 대한산업공학회지
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• 제43권3호
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• pp.154-163
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• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.