• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.3
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• pp.63-68
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• 2007

The LRA(Logistic Regression Analysis) conducts a quantitative analysis by collecting a lot of samples and the AHP(Analytic Hierarchy Program) makes use of expert decision influenced by subjective judgment to a certain degree. This study is to suggest a combination method in mapping landslide hazard by giving equal weight for the result of LRA and AHP. Topographic factors(slope, aspect, elevation), soil dram, soil depth and land use were adopted to classify landslide hazard areas. The three methods(LRA, AHP, the combined approach) was applied to a $520km^2$ region located in the middle of South Korea which have occurred 39 landslides during 1999 and 2003. The suggested method showed 58.9% matching rate for the real landslide sites comparing with the classified areas of high-risk landslide While LRA and AHP Showed 46.1% and 48.7% matching rates respectively. Further studies are recommended to find the optimal combining weight of LRA and AHP with more landslide data.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.299-320
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• 2013

In recent years, the surroundings of Fire have rapidly changed and citizens need for Fire have been demanding very high. Under these situations, in order for satisfaction to all these demands, Seoul Metropolitan Government Fire Academy(SFA) have only to improve its educational training program as the fire educational training center in Korea. The purpose of this study is to scrutinize current educational training program of SFA and measure the relative weight among the hierarchy of disaster management(prevention and mitigation-prepare dness-response-recovery) by using the Analytic Hierarchy Process(AHP). The result of this study presents that how many hours must be allocated and set the educational training program with scientific and systematic way of AHP compared the current program of SFA in 2013. And This study is applied to increase access and comprehension about the AHP and will be able to present guideline for the selection of optimal the educational training of SFA to serve Seoul citizens the best Fire services.

• Journal of the Korea Safety Management & Science
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• v.9 no.2
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• pp.195-214
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• 2007

The purpose of this study is to explore the applicability of AHP(Analytic Hierarchy Process) to select more productive projects among various proposed projects in a particular company. To achieve this research objective, the characteristics of project evaluation and selection are first reviewed with respect to when, where, and how the decision is made. Then the theoretical basis of the AHP is briefly reviewed along with its mathematical underpinnings to construct the framework of project evaluation and selection. To be more specific, the evaluation and selection criteria were reorganized in the AHP-based framework to make the process of project evaluation and selection more productive. Project evaluation and selection is one of the most important activities for the most companies to be more advantageous in the market. Despite the importance of decision making process of project selection, not many of how to choose the best project were suggested as the reliable project selection methods in the industries. It may be because it involves various activities related to conflict resolution among different evaluation criteria, high uncertainties of market, and the unclear tradeoff among various project objectives. Furthermore, the decision, once made at this point, tends to be irrevocable until the whole process turns out to be a complete success or failure. As the result, the AHP method showed better financial performance rather than the traditional method in a case study.

• International Journal of Quality Innovation
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• v.7 no.2
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• pp.141-156
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• 2006

This study describes a novel algorithm for optimizing the quality yield of silicon wafer slicing. 12 inch wafer slicing is the most difficult in terms of semiconductor manufacturing yield. As silicon wafer slicing directly impacts production costs, semiconductor manufacturers are especially concerned with increasing and maintaining the yield, as well as identifying why yields decline. The criteria for establishing the proposed algorithm are derived from a literature review and interviews with a group of experts in semiconductor manufacturing. The modified Delphi method is then adopted to analyze those results. The proposed algorithm also incorporates the analytic hierarchy process (AHP) to determine the weights of evaluation. Additionally, the proposed algorithm can select the evaluation outcomes to identify the worst machine of precision. Finally, results of the exponential weighted moving average (EWMA) control chart demonstrate the feasibility of the proposed AHP-based algorithm in effectively selecting the evaluation outcomes and evaluating the precision of the worst performing machines. So, through collect data (the quality and quantity) to judge the result by AHP, it is the key to help the engineer can find out the manufacturing process yield quickly effectively.

• Journal of Korean Society of Rural Planning
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• v.25 no.2
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• pp.35-45
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• 2019

This study revises current feasibility evaluation guideline for agricultural infrastructure improvement project considering recent changes in social and economic environment in rural area. We use an AHP(Analytic Hierarchy Process) approach to consider qualitative evaluation items in policy enforcement and balanced regional development as well as quantitative items in current economic analysis in the process of feasibility evaluation and decision making. The criteria system is composed of three level hierarchy. In the first level which consists of economic analysis, policy analysis, and regional development analysis, economic analysis was ranked top with relative weight of 0.45 and regional development analysis the lowest with 0.22. In the second level which consists of three evaluation items under policy analysis, consistency in policy enforcement, risk factors, and special evaluation factors, consistency in policy enforcement was ranked top. Finally, 13 detailed evaluation items in the third level were surveyed and ranked by using a comprehensive criticality vector. The result shows that the three most important evaluation items are 'degree of underdevelopment', 'spill-over effect of regional economy' and 'consistency with related planning and policy direction'.

• Korean Journal of Organic Agriculture
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• v.29 no.4
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• pp.439-457
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• 2021

Since ancient times, ginseng has been cultivated in Korea, and related cultures are also rich. However, the domestic ginseng industry is currently facing many crises. As a source of ginseng, Korea needs to come up with a strategy to cope with the crisis of the ginseng industry and implement it efficiently and effectively using limited resources. This study used the Analytic Hierarchy Process (AHP) to analyze the priority of policies so that ginseng policies can be effectively implemented. The survey was conducted by dividing into two groups of experts, 'policy managers' and 'field experts'. As a result of the study, policy managers seem to believe that the consumption of ginseng is important for the development of the ginseng industry. On the other hand, the field expert group believes that the government should take the initiative to increase the supply capacity of the ginseng industry. Through this study, it will be possible to help in determining the importance of policy, recognizing that the viewpoints of policy can be different for the ginseng industry to develop.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.245-254
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• 2022

In this study, we derived selection factors for OTT services based on previous studies and presented an hierarchy process analysis model to calculate the weights for each evaluation. To evaluate the OTT selection factors, OTT customer data was used for the analysis. The results showed that of the first stage factors of economic feasibility, system excellence, convenience, diversity, playfulness, and responsiveness, diversity is the most important. When the weights for first stage and second stage factors were synthesized, entertainment was the most important factor. Lastly, this study analyzed whether there is a difference in the weight of the selection factor for the first stage of OTT service according to gender and age. This study shows which factors consumers prioritize when using OTT services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.9
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• pp.1737-1744
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• 2009

This study calculated the relative importance between evaluation factors of websites focused on culture and tourism in J region by 3C_D_T evaluation model of website. That is, this paper was analyzed by AHP (analytic hierarchy process) and calculated the relative weights and preference. In conclusion, this study showed that content was the most important factor and proposed the improvement planning through sensitivity analysis.

• Knowledge Management Research
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• v.12 no.1
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• pp.39-52
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• 2011

Many LCD manufacturers continue to develop the technologies of LCD manufacturing processes for the reduction of production cost, power consumption and high-resolution. The LTPS (Low Temperature Polycrystalline Silicon) crystallization technology is important for rearranging the internal structure of liquid crystal grain by adding certain energy to amorphous silicon and turning it into poly-silicon in order to manufacture LCD with better performance. We consider 14 existing technologies of LTPS crystallization in the LCD manufacturing and present an intelligent analysis methodology using patent map and AHP (Analytic Hierarchy Process) analysis for determining an optimal LTPS crystallization technology. By using patent map analysis, we easily understand the development process and mega-trend of LTPS crystallization technologies and their relationship. By using AHP analysis, we evaluate 14 LTPS technologies. Through the use of proposed methodology, we determine the Continuous Wave Laser Lateral Crystallization technology as an optimal one.

• Culinary science and hospitality research
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• v.12 no.1 s.28
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• pp.203-215
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• 2006

This study tried to develop an estimation model on the competitive power as a method to understand a practical index on the competitive power in order to improve the competitiveness of domestic bakery corporations and look into their internal structure. The results of the practical analysis are summarized below. First, eight critical success factors, which are considered important in competitive power in bakery corporations, were derived from preceding studies and an expert meeting. Second, this study performed a questionnaire with eight derived factors for bakery managers and employees. Seven critical success factors suitable for bakery corporations were chosen through validity and reliability tests. Third, this study performed an AHP(Analytic Hierarchy Process) analysis in order to establish preference according to each factor and weight. The importance of factor concerned with the competitive power of bakery corporations according to the result of weight analysis appeared in order of customer resources, personnel resources, corporate images, material resources and qualities, technical capability, financial factors and pliability(time).