• Title/Summary/Keyword: model factor

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Facility Location Planning with Realistic Operation Times in Supply Chain (공급사슬에서 실제 시설물 운영시간을 고려한 시설배치계획에 관한 연구)

  • Lee Sang Heon;Kim Sook Han
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.2
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    • pp.143-156
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    • 2005
  • Facility location planning (FLP) problem is the strategic level planning in supply chain. The FLP is significantly affected by the operation time of each facility. In most of the FLP researches, operation time of facility has been treated as a fixed value. However, the operation time is not a static factor in real situations and the fixed operation time may lead unrealistic FLP. In this paper, a mixed integer programming (MIP) model is proposed for solving the 3-stage FLP problem and operation times are adjusted by the results from the simulation model and an iterative approach combining the analytic model and simulation model is proposed to obtain more realistic operation plans for FLP problems.

Finite Element Analysis of Concrete Columns Strengthened with Glass Fiber Sheets (유리섬유쉬트로 보강된 콘크리트 기둥의 유한요소해석)

  • 정택원;송하원;변근주
    • Proceedings of the Korea Concrete Institute Conference
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    • 2002.05a
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    • pp.449-454
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    • 2002
  • For finite analysis of concrete columns strengthened with glass fiber sheets, an effective concrete model which considers the confining effects by lateral reinforcement and glass fiber sheets is necessary. In this paper, the so-called elasto-plasticity and continuum fracture model (EPF model) is modified to consider high confining effects of strengthened reinforced concrete columns by introducing a simple correction factor ($\alpha$) which relates maximum lateral confining stress of the column to the evolution of deviatoric plasticity. Then, a finite element analysis is carried out for the strengthened reinforced concrete columns using the modified EPF model and equally spaced truss elements. It is shown that the, analysis predicts well the failure behavior of reinforced concrete columns strengthened with glass fiber sheets.

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Developing the Measurement Model of Service Quality in the Public Sector (공공부문의 서비스품질 측정모형 개발)

  • Rha, Jun-Young;Rhee, Seung-Kyu
    • IE interfaces
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    • v.20 no.3
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    • pp.339-352
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    • 2007
  • Beyond SERVQUAL-based service quality research, we develop a measurement model of public service quality that would provide researchers and practitioners in the public sector with a foundation for systematic investigation and implementation. Firstly, we explore the attributes of public service quality that lead to customer satisfaction by using the critical incident technique (CIT). We identified four dimensions of public service qualities. We also found that the critical attributes of service quality differ according to the types of customers. Secondly, to achieve a high degree of empirical confidence, we conduct statistical tests and analyses on the classification scheme and on the attributes of service quality that we derived from the CIT analysis. Through these analyses, we could remove the redundancy among attributes and group the attributes into new constructs, which are mutually exclusive and exhaustive; we built a more sophisticated measurement model of service quality.

Development of Evaluation Model in Business Incubator Using Data Mining Process (데이터마이닝을 이용한 창업보육센터의 평가모델 개발)

  • Lee, Dong-Youb;Kim, Jin-Wook
    • IE interfaces
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    • v.20 no.3
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    • pp.387-394
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    • 2007
  • Numerous countries promote business programs to revitalize local economy, increase employment, and nurture high-tech industries. Recently, a number of business incubators have been established and operated with aims to adapt to changing environment and increase economic competitiveness in Korea. To give satisfactory results of governmental policy, the requirement to develop the evaluation model to support effective operations of business incubators using the objective and rational criteria is growing. The purpose of this study is to develop evaluation model in Business Incubator using Data Mining Process. We suggested the evaluation model of business incubator, 'Score-5 RS' consists of making evaluation factor process using weighted sum and 5-grade classification and analyzing process by Decision Tree algorithm.

Construction of Scientific Impact Evaluation Model Based on Altmetrics

  • Li, Jiapei;Shin, Seong Yoon;Lee, Hyun Chang
    • Journal of information and communication convergence engineering
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    • v.15 no.3
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    • pp.165-169
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    • 2017
  • Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

Estimating Customer Value under B2B Environment Using Description and Prediction Models (B2B 거래에서 서술모델과 예측모델을 이용한 고객가치 산정)

  • 박찬주;박윤선;주상호;유우연
    • Korean Management Science Review
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    • v.20 no.2
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    • pp.135-149
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    • 2003
  • Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

A Study on Differentiation Strategy for Tablet PC and e-Book Reader by a Comparative Analysis of Acceptance.Diffusion Factors (태블릿PC와 전자책단말기의 수용.확산 요인 비교분석을 통한 차별화 전략 연구)

  • Sim, Jin-Bo
    • Korean Management Science Review
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    • v.28 no.1
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    • pp.25-42
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    • 2011
  • The mobile industry is the key foundation of digital convergence, and its constant growth is expected. Among mobile industries, new products leading the development of devices are the Emerging Device. This study is conducted to find out factors making differentiated by comparing the structural equation model(SEM) of the Tablet PC and the e-Book Reader. The main findings are as follows. First, the application of TAM to the Emerging Device shows that fitness of the model is generally high but the effect of Perceived Ease of Use has not been verified or found insignificant. Second, the acceptance model of the Tablet PC and the e-Book Reader has found that playfulness stimulates acceptance intentions. Third, the cost level of the Emerging Device acceptance model is not a factor stimulating consumers' acceptance intentions. Fourth, product attributes of the Tablet PC and the e-Book Reader to differentiate themselves from the other device are Functionality and Playfulness respectively.

A Study on the Effect of the Machine State Considering Human Skillfulness (Kalman Filtering Approach) (작업자의 숙련도가 기계상태에 미치는 영향에 관한 연구 (최적 제어 이론(Kalman Filtering) 적용 중심으로))

  • 윤상원;갈원모;신용백
    • Journal of the Korean Society of Safety
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    • v.9 no.4
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    • pp.125-131
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    • 1994
  • This paper proposes a dynamic recursive model with the effect analysis of machine state considering human factor(human skillfulness) In a single lot man-machine production system. This model obtained using Kalman Filtering Algorithm Is based on input state, output state, machine state. For sensitivity analysis, this model constructed is examined according to the impact of human skillfulness with computer simulation. The model studied in this paper has a great advance from the point of view a combination of three factors( human engineering, dynamic control theory, quality control ) and can also be extended in several applications.

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A Study of the Development of the Stress Optic Law of Photoelastic Experiment Considering Residual Stress

  • Suh, Jae-guk;Hawong, Jai-sug;Shin, Dong-chul
    • Journal of Mechanical Science and Technology
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    • v.17 no.11
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    • pp.1674-1681
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    • 2003
  • Photoelastic experiment has two significant problems. The first problem is manufacturing a model specimen for complicated shapes of structures. The second problem is residual stress contained in the photoelastic model material. In this paper, the stress optic law that can be effectively used on photoelastic model materials with residual stress is developed. By using the stress optic law as developed in this research, we can obtain good results in photoelastic experiments using model material in which residual stress is contained. It is assured that the stress optic law developed in this research is useful. Therefore, it is suggested that the stress optic law considering residual stress can be applied to the photoelastic experiment for the stress analysis of the composite materials or bi-materials in which the residual stress is easily contained.

A Risk Analysis Model Using VERT for R & D Project Management (R & D 프로젝트의 위험분석모형의 연구)

  • 황홍석
    • Journal of the Korean Operations Research and Management Science Society
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    • v.20 no.1
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    • pp.85-99
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    • 1995
  • Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.

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