• Journal of the Economic Geographical Society of Korea
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• v.15 no.3
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• pp.437-455
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• 2012

Korea has recently constructed a number of renewable photovoltaic power plants in Jeolla province as an effort to provide environment-friendly energy. However, several problems appeared in the power plant locations because they were not appropriately chosen ignoring social-environmental perspectives. Consequently, locations of both currently existing photovoltaic power plants require an social and environmental evaluations. This study aims to provide appropriate photovoltaic power plants locations and evaluation of current photovoltaic power plants in Jeolla province. By presenting location analysis of photovoltaic power plants, this study would minimize environmental and social side effects regarding photovoltaic power plants. Kriging and Analytic Network Process (ANP) are applied as methodology. ANP generates correct weights in combining spatial data, so that the result would present optimal locations. In addition environmentally sensitive regions were excluded in the analysis process. The results show that South and West coastal areas have a number of appropriate locations for photovoltaic power plants. In addition, evaluating currently running photovoltaic power plant locations, total 23 out 81 are turned out to be inappropriately located. This study is expected to contribute avoiding social and environmental conflicts in photovoltaic power plant locations and present criteria in evaluating photovoltaic power plants.

• The Journal of Information Systems
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• v.18 no.3
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• pp.135-154
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• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.191-197
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• 2009

This study choose the Criteria by conducting survey questionnaire of expertise, ANP analysis, and reviewing literature to samples of School Zone in a synthetic and reasonable way. It draws the estimating factors including a variety of existing aspects (user, facility, operation and management, and education and institution) from the analyses and applies ANP to reflect the decision making process. The results show as follows: first, first level of weights presents proportion of 'facility' and 'user' takes 65% of total weights. It implies that the facility protects children from obstacles is the top priority of the settings. second, the second level of weights present similar importance with the first level. Facility management, road to school, surroundings, safety facility, decelerating facility hold approximately 72% of overall levels. This indicates that improving and repairing surroundings, and safety and decelerating facility are the first priority to consider. These estimating indicators will be properly utilized to rationally appoint prevention zone with reflecting various factors and social class.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.139-149
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• 2011

The Korean government have made and implemented various energy policies for solving environmental and energy problems in the energy industry in general and in the areas of "Energy-IT convergence" in particular. It is important for the government to choose and focus the future industries and promotion fields of Energy-IT convergence, because the Energy-IT convergence leads to newfangled services and products with diverse direct, indirect and induced effects and sometimes it needs to different regulation and policy issues. Unfortunately, until recently, there are very few researches regarding these complications. This study has derived critical priority factors for analyzing and evaluating the future industry of Energy-IT convergence. Using these elements and the ANP(Analytic Network Process) method, we have investigated the opinions of experts in the energy and IT industry. The process and results in this paper can be a good guideline for academic as well as industrial developments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4697-4706
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• 2010

This paper suggested the optimal operating design method using simulation and ANP(Analytic Network Process) for mass-customization in the automotive component manufacturing industry. For this, first of all, we built the simulation model including various and complex factors in the field, and estimated the meta-model by RSM(Response Surface Method). Secondly using ANP, we calculated the weight of relative importance of evaluation factors gathered from decision makers. And then, we proposed the optimal operation designs by MOGA(Multi-Objective Genetic Algorithm), analyzed results of them. Moreover, by comparing the results with the consequences using AHP(Analytic Hierarchy Process), we showed its superiority of suggested method to the manner using AHP, because it reflects inner, outer dependency, and inter-relation among judgement factors. In conclusion, through this process, we can present the better way to serve mover effective, precise, and accurate information to decision makers when they build operation design for mass-customization system as automotive parts production system.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.19 no.1
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• pp.94-100
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• 2010

Nowadays, several nontraditional machining(NTM) processes are widely used to machine a complex and accurate shape part of hard materials, such as titanium, ceramics, high strength temperature resistant and refractory materials which are difficult to machine and having high strength, hardness, toughness. Machining of these complex shapes in such materials by traditional machining processes are very difficult. The NTM processes is important in the areas of micro- and nano scale machining, where high accuracy and superior surface characteristics are required, which can only be achieved using these NTM processes. So, for effective selection of different NTM processes, careful decision making for a given NTM application is often necessary. An appropriate NTM process for a given material and shape condition is very difficult for the novice engineers. In this paper, an expert system based on an analytic network process(ANP) is suggested for a best selection of NTM process in a NTM application considering an prior interdependency effect among various factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.804-808
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• 2002

A strategic decision making needs a sound process modeling to find out the right path of organizational changes; however, dynamic feedback processes involved in a real world business, make it difficult to predict the outcomes of strategic decisions. In this paper, we present a conceptual framework to facilitate strategic decision making process for organizational changes. The framework, which employs the concepts of analytic network process (ANP) and system dynamics (SD), can be used to prioritize various projects under consideration and to make a long-term strategic plan in a constructive manner.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.850-854
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• 2010

본 연구는 ANP법을 활용하여 전평시 군수지원 시스템에 대한 운용평가 방안을 제시하였다. 이러한 평가를 위하여 본 연구에서는 군 실정에 부합한 평가기준 재정립하여 기준별 구체적인 평가방법을 제시하였다. 그에따라 연구에서는 시뮬레이션을 이용하여 시스템 운용의 최적조합을 판단하는 과정과 정수계획법을 통한 수리적 모델링으로 군수품의 배송비용에 대한 경제성 평가를 제시하였고 회귀분석을 통한 효용성 평가와 IPB에 의한 군수품 수송의 안정성 평가를 실시하였다. 마지막으로 이러한 각 평가 결과를 ANP법을 이용한 종합 평가치를 산출하여 전평시 지휘관 및 참모의 부대지휘절차간에 구체적인 방책구상 및 선정시 지휘관이 최적의 의사결정할 수 있도록 하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.180-189
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• 2014

Display quality assessment has been a long standing issue due to the diversity of display devices and the rapid growth of display technology. The conventional display quality assessment methods are mostly those methods which evaluate qualities of a display by measuring physical quantities, but the results from the methods are not equal to the perceived results which are acquired with subjective experiments. Thus, we need to solve the above contrariety as well as establish the quantitative correlation between physical and perceived results. This paper proposes the systematic method of evaluating relative perceived qualities among various display devices and quantifies these relative perceived qualities. The proposed method is based on Analytic Network Process(ANP), which is one of the most popular decision making methods in the business administration field. We also adopted three evaluation criteria, which consist of color, shape and depth, in order to reflect the human visual system and chose eight sub-criteria related to display characteristics via question investigation. We carried out a subjective experiment and the proposed method which evaluated perceived qualities of two display devices(TFT-LCD, OLED) in order to prove the similarity between their results. As a result, it is proved that the order relationship between perceived qualities was the same as the order of results got through the subjective experiment.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.73-96
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• 2019

This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.