• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2003년도 봄 학술발표대회논문집
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• pp.226-227
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• 2003

• Journal of Information Processing Systems
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• 제3권2호
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• pp.64-72
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• 2007

Mobile technology appears promising as a method to promote group performance in circumstances dependent on time, but not member proximity. However, the success of mobile technology in group decision-making situations has not yet been proven. This paper aims to see how mobile technology affects the performance of group decision-making tasks that should be resolved urgently and/or sources of idea are disconnected with on-line network. Laboratory experiment was used to investigate the effects of mobile factors on group decision-making. The results from the experiment supported the proposition that pressures of time and location play a significant role in the assessment of group decision performance measures. We found that the adoption of mobile technology to group decision-making procedures might be competitive when group decision-making tasks are urgent and sources of idea are disconnected with on-line network, even though mobile technology is not a panacea on which to depend when designing group decision-making.

• 마케팅과학연구
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• 제13권
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• pp.135-158
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• 2004

본 연구에서 온라인 소비자들이 재방문단계(revisit stage)와 구매의사결정 단계(decision-making stage)에서 어떤 방문행동 특성상의 차이를 보이고 있는가를 파악하기 위한 목적을 가지고 있다. 인터넷 쇼핑몰 시장에서 어떤 방문행동특성을 가진 온라인 소비자들이 지속적으로 같은 사이트를 방문하고, 구매행동을 하는지에 관한 정보는 사이트 관리자의 입장에서 볼 때 수익성 제고 측면에서 공헌하는 바가크다. 특히 본 연구에서는 2단계 Mixture Model 율 이용하여 온라인 소비자들의 방문행동 특성을 파악함으로써 인터넷 쇼핑몰의 경쟁력을 강화활 수 있는 세분시장 결정방법을 제시하고자 한다. 또한 사이트 재방문단계 (revisit stage) 와 구매의사결정 단계 (decision-making stage) 훌 통한 온라인 소비자들의 방문 행동 특성 정보는 사이트 경쟁력 강화를 위한 전략적 시사점율 제공해줄 것으로 기대된다. 본 연구는 온라인 소비자들의 구매의사결정이 재밤문단계 (revisit stage) 와 구매단계 (purchase stage) 라고 하는 2단계 의사결정과정을 거치고 있음을 보여주는 실증분석을 통해 온라인 소비자들의 방문행동 특성을 파악하여 이에 적합한 대응전략을 전개할 수 있음을 논의함으로써 온라인 소비자들의 방문행동 특성을 사이트 밀착도 및 항해유형에 따라 파악할 수 있다는 학문적 공헌점을 제시 하고 있다.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.957-962
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• 2008

We propose a model for the line expansion problem in the AMOLED (Active Matrix Organic Light Emitting Diodes) industry, which now faces market uncertainty: for example, changing customer needs, technological development path, etc. We focus on the optimal investment time and size of the AMOLED production lines. In particular, employed here is the ROV (Real Options Valuation) model to show how to capture the value of line expansion and to determine the optimal investment time. The ROV framework provides a systematic procedure to quantify an expected outcome of a flexible decision which is not possible in the frame of the traditional NPV (Net Present Value) approach. Furthermore, we also use Monte Carlo simulation to measure the uncertainty associated with the line expansion decision; Monte Carlo simulation estimates the volatility of a decision alternative. Lastly, we present a scenario planning to be conducted for what-if analysis of the ROV model.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권9호
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• pp.1196-1203
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• 2004

자율적인 에이전트들은 이성적인 의사결정을 위하여 상당한 양의 계산자원을 필요로 하며, 실시간 환경에서 항상 최적의 행동을 수행하는 완벽하게 이성적인 에이전트(rational agent)의 구현은 실질적으로 가능하지 않다. 이러한 실시간 문제 해결기법에서의 전통적인 접근 방식은 미리 정의된 규약에 의존한 조건-행동 추론 방식이다. 조건-행동 추론 방식은 주어진 상황에 빠르게 반응하지만, 문제 영역이 다양하거나 문제의 재설계가 필요한 경우에는 아무런 해법을 갖지 못한다. 따라서 이러한 문제점을 해결하기 위해 본 논문에서는 주어진 행동들의 유틸리티를 실시간에 계산하고, 긴급한 정도(urgency)를 측정하여 상황이 긴급할 경우에는 더 이상의 계산을 중단하고 즉각적인 행동을 취하며, 반면에 상황이 긴급하지 않을 경우에는 최선의 의사결정을 위하여 추가적인 정보를 고려하여 더 바람직한 행동을 결정하는 방법론을 제안한다. 제안한 방법론의 평가를 위하여 시간 제약적인 환경에서 최선의 의사결정을 수행하는 실질적이며 유연한 에이전트를 구현하고자 한다.

• Journal of the Optical Society of Korea
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• 제18권4호
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• pp.317-329
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• 2014

In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.

• 한국산업정보학회논문지
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• 제2권2호
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• pp.189-207
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• 1997

Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

• 반도체디스플레이기술학회지
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• 제20권2호
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• pp.6-13
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• 2021

Cases and studies on the selection method of CTQ are relatively active, but there are few cases or studies on the selection method of CTP which is important in the device industry. In fact, many companies simply select and manage CTP from the point of contact based on their experience and intuition. The purpose of this study is to present an evaluation model and a mathematical decision model for rational and systematic CTP selection to improve the process quality of semiconductor equipment lines. In the evaluation model, AHP (Analytic Hierarchy Process) analysis technique was applied to show objective and quantitative figures, and Fuzzy decision-making model was used to solve the ambiguity and uncertainty in the decision-making process. Decision Value (DV) was presented. The subjects were 22 process factors managed in the Plating Process that the representative equipment line can do. As a result, the evaluation model proposed in this study can support more efficient and effective decision-making for process quality improvement by more objectively measuring the problem of subjective CTP selection in manufacturing sites.

• 한국경영과학회지
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• 제36권3호
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• pp.107-120
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• 2011

The increased availability of store brand suppliers now provides retailers with opportunities to create their own lines of vertically differentiated multiple store brands within a product category. As the number of store brands increase, the retailer's shelf space becomes more crowded, which may force the retailer to consider dropping some national brands from its assortment. Despite these trends, the problem of product line design in a vertically differentiated product category has been analyzed mainly from a manufacturer's perspective in the marketing literature and it is not known to what extent the findings of the existing product line design literature provide applicable strategic guidelines for the new problem faced by retailers. In this study, we address this deficiency in the literature and conduct an in-depth study of the retailer's strategic design of a line of store brands and its assortment decision within the context of retail category management. We analyze the retailer's decision about not only how to design a line of store brands but also which national brand to drop from its assortment. The results of our analysis are as follows. First, if the retailer has to drop one of national brands from its assortment, it is the best for the retailer to drop the low-quality national brand rather than the high-quality national brand. Second, the retailer has to position the high-quality store brand relatively close to the high-quality national brand, remained on its shelf, in terms of quality so as to maximize the size of retail margin from the national brand. On the other hand, the retailer should set the quality of the low-quality store brand at a lower level than that of the low-quality national brand to increase the total category demand by attracting more price sensitive consumers. By doing so, the retailer can also minimize cannibalization between two store brands. Lastly, our analysis shows that the introduction of a line of store brands improves consumer welfare by increasing real values of all products on the shelf.

• 산업공학
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• 제16권spc호
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• pp.111-115
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• 2003

Railroad system is consisted of resources of rail track, signal system, and vehicles. Railway operation must use these limited resources and maximize resource utilization. Line capacity(number of trains throughput/day) is determined by such as parameters, line utilization rate($\alpha$), dummy rate for the break-through hour($\beta$), and dummy rate for the number of rail track intervals($\delta$). Line capacity simulation(LCS) determined the line capacity through simulation given $\alpha$, $\beta$, and $\delta$. This paper deals with the development of parameter evaluation simulation(PES). PES presents the decision maker with the relationship of line capacity and measurement of robustness for various scenarios in different parameters and then the decision maker can determine the appropriate parameters.