• 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 Wetlands Research
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• v.13 no.2
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• pp.291-306
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• 2011

It is important to evaluate the environmental effect before performing the project and it should be tried to minimize the negative effects through the project planning based on the evaluation. This study aimed to determine environmental criteria and suggest the procedure for evaluating and scoring the environmental change through water resources projects. In evaluation criteria it was involved in water quality, landscape and ecosystem. And we suggested a valuation indicator and utility functions using MAUT in each criteria determined. In assessment procedure, it is involved in quantitative or qualitative estimation at before and after of project. Meanwhile, we suggested that it is desirable to determine the relative weighting of criteria whenever individual project's assessment performed for considering characteristics of the project. To this end, we verified the applicability of the procedure suggested on case. From this study, it will be used in decision making process of water resource project involved in environmental attributes.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.771-785
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• 2014

As marine desertification and chlorosis in Korean coast have been intensified over time, Korean government is promoting marine afforestation projects. However, marine afforestation location is mainly decided by administrative convenience. Also, there is limited literature on location suitability about the marine afforestation. This study aims to assess location suitability of marine afforestation considering 3 significant criteria: ecological, submarine topographical, and human-social environment. Jeju, the study area of this study, first observed chlorosis in Korean coast at the small fishery town in Seogwipo. Jeju is currently suffering from chlorosis all around the island. Habitat Evaluation Procedure (HEP), 3D kriging, Analytic Hierarchy Process (AHP) is applied as analysis methods. Especially, 3D kriging is utilized for modeling 3D ocean space reflecting ocean environment appropriately. The result shows that Jocheon coast has better location suitability than Seogwipo Pyoseon coast. Jocheon coast has the maximum 61% suitability as the habitat of Ecklonia cava Kjellman, and is highly evaluated in other criteria. The results of this study are expected to find optimal marine afforestation location, and to contribute to the restoration of the Jeju coastal ecosystem and the revitalization of Jeju fishing village societies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.218-225
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• 2020

This study analyzed the priorities of the cross-compliance items of public-benefit direct payment using an Analytic Hierarchy Process and Fuzzy Decision Making Analysis. The valuation criteria are policy efficiency, farm acceptability, and feasibility, and the valuation targets are the basic and additional cross-compliance items. The survey was performed by targeting 50 experts from each class, and conducted for about a month starting from the beginning of July 2019. The results show that the weight of the valuation criteria is higher in the order of farm acceptability, feasibility, and policy efficiency. Compliance with PLS standards, compliance with disposal standards of waste vinyl and pesticides, soil testing, compliance with toxic substance standards, education, etc. are comparatively evaluated to be higher cross-compliance items in basic cross-compliance. Disposing of an abandoned well, jointly collecting and disposing of agricultural by-products, common area care and cleaning, maintenance of empty houses and poor facilities, growing green manure crops during the fallow period, etc. are comparatively evaluated to be higher cross-compliance items for the additional cross-compliance. The results of this study are expected to contribute to the government's policy related to the cross-compliance of public-benefit direct payment.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.3 s.21
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• pp.99-105
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• 2002

In 1995 of May, the Ministry of Construction and Transportation (NOCT) developed the First Nation-wide Master Plan of GIS. It is set up in response to an increasing and various demands on spatial informations. Until now, a set of diverse projects related to spatial information have been proposed and executed. However, cost-benefit analysis of investment and decision making for alternatives have not been carried out appropriately because scientific evaluations for obtaining efficiency and economical validity of investment have been deficient. Optimum decision making for projects based on itemized priority order using effect or cost of proposed alternative plan is a fundamental expedient for demonstration of propriety of projects and enhancement of efficiency of investment. From such understanding, this paper applied the analytic hierarchy process (AHP) technique to the cost required to construct a GIS so that analyze the weight of each cost factor.

• Archives of design research
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• v.17 no.1
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• pp.163-178
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• 2004

In this study, in order to achieve the before-mentioned study purpose, the importance of developing the new product, the relationship with the design, and the design element for developing the new product were considered. In order to extract the importance of the design element which is applied to the development of the new product design, the research model about the induction of the priority was created, the evaluation items were instituted, and the demonstrative research approach was performed in order to recognize the relationship among those elements. Firstly, in the process of selecting the items for the application, 14 evaluation elements which were extracted through the advanced study data were grouped in 4 kinds of dimensions, and the properties which are related with the Digital TV product were composed up of 36 items. Through the factor analysis, by decreasing the detailed standard for the evaluation of 36 items, the parsimony was secured, and the characteristics which the various items contain induced into one factor. Secondly, the detailed factors which were united into one factor went under the paired comparison as one by one through AHP again, and then the importance degree was generated. First of all, as the first stage of AHP, the decision making factors which affect the whole achievement of purpose of the decision making were classified as in a hierarchical style. From these research results, it was known that the functional factor and esthetic factor in the process of designing the new product are the major affecting variables, and it was confirmed that in case of the Digital TV products group, the factors such as the high quality of picture, big screen, user interface, sound, product reliability, style, size, indoor reproduction, and guarantee are the main factors which influence the need of the consumers in purchasing products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.390-397
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• 2021

The selective public-benefit direct payment is a system that provides subsidies to farmers that improve the public benefit of agriculture. However, there are limits in improving the public benefit since the current system simply integrates the prior direct payment system. Therefore, it is necessary to improve the public benefit of agriculture by reorganizing the implementation framework. This study uses the analytic hierarchy process and analytic network process to set the priority of the system and propose an implementation framework. A survey was conducted targeting 51 experts for about two months from August 2020. Study results show that the most important goal of the system is its effectiveness. The public beneficial implementation framework of the selective public-benefit direct payment is bundle type. Meanwhile, the effects of the subcategories of the bundle type lack research. Therefore, it is necessary to conduct a pilot project for the bundled type system and systematically establish policies by analyzing the effects of the pilot project. This study provided indicators about policy directions through the evaluation of the selective public-benefit direct payment (plan). The results of this study are expected to provide an objective basis for government policies related to the reform of selective public-benefit direct payment systems in the future.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.6
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• pp.18-25
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• 2005

The purpose of this study is to investigate cognitive gap between users and architectural experts for architectural planning of elementary schools to support effective decision-makings. For this study, each architectural factor was selected from the journals published by Korean Institute of Education Facilities(KIEF) from 2000 to 2004. Among these factors, the priority planning factors were decided through Analytic Hierarchy Process(AHP). The results of this study showed users' emphasis on the amenities of physical environment such as orientation, ventilation, noise, view, but experts' preference on spatial composition of space and function such as orientation, circulation, zoning, parking lot, courtyard. This difference shows clear cognitive gaps between two groups and also suggests factors required to be considered to develop effective decision-making in elementary school planning.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.12-23
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• 2021

This study organizes policy tasks currently being promoted by the government to revitalize the domestic VR and AR industries, which are evaluated to be stagnant compared to major overseas countries, and aims to derive priorities through analysis of an AHP survey for experts in the VR/AR field, and to seek countermeasures based on the analysis results. As a result of classification based on various previous studies, press releases, and policy data, it was divided into 5 major categories and 16 sub-categories: technical issues, awareness improvement, legal/institutional improvement, government support, and manpower development. As a result of the AHP analysis, in the major category, the "government support" appeared as the top priority policy task, followed by the "manpower development". In the sub-categories, "training new manpower" was the most important policy implementation task, followed by "enhancing technological competitiveness". This study is meaningful in that it selects and presents prioritized policy tasks that clearly reflect the position and perspective of the industry on the policy-making situation exposed to the limitations of time and resources, while also presenting practical improvement plans.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.321-332
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• 2020

Decentralized approaches are extensively researched by academia and industry in order to cover up the flaws of existing systems in terms of data privacy. Blockchain and decentralized learning are prominent representatives of a deconcentrated approach. Blockchain is secure by design since the data record is irrevocable, tamper-resistant, consensus-based decision making, and inexpensive of overall transactions. On the other hand, decentralized learning empowers a number of devices collectively in improving a deep learning model without exposing the dataset publicly. To motivate participants to use their resources in building models, a decent and proportional incentive system is a necessity. A centralized incentive mechanism is likely inconvenient to be adopted in decentralized learning since it relies on the middleman that still suffers from bottleneck issues. Therefore, we design an incentive model for decentralized learning applications by leveraging the Ethereum smart contract. The simulation results satisfy the design goals. We also outline the concerns in implementing the presented scheme for sensitive data regarding privacy and data leakage.