• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.76-80
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• 2003

The procedure of finding operating conditions minimizing qualify loss is proposed with a real industry example. The procedure consists or major two parts - the selection or process variables critical to the response and He determination or operating conditions. The coefficients or ridge regression and the and stores or partial least squares are applied to select important process variables. Functional approach and Non-functional approach are used to find proper operating conditions of important process variables.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1999.03b
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• pp.120-123
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• 1999

The precision cold forging process for steering yoke of automobile has been analysed by using rigid-plastic finite element analysis code DEFORM-3D Also the experiment has been performed through the optimized process. Until now steering yoke has been largely manufactured by hot forging or welding of forged head and shaft parts because of technical difficulty. the study has shown successful results of the precision cold forging through the proper selection of the process.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.25-44
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• 2000

The purpose of this article is to analyse the policy-making process concerning the selection of providers for IMT-2000, the global roaming communication services in Korea by adopting the new institutional approach. It is supposed to contribute to understanding the characteristic of the policy process in the field of information and communication. We can see the durability of institution through the process that the government lost its policy credibility by using the intervention instrument rather than letting go in the market place.

• Knowledge Management Research
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• v.19 no.2
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• pp.151-162
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• 2018

Response surface methodology (RSM) is one of popular tools to support a systematic improvement of quality of design in the product and process development stages. It consists of statistical modeling and optimization tools. RSM can be viewed as a knowledge management tool in that it systemizes knowledge about a manufacturing process through a big data analysis on products and processes. The conventional RSM aims to optimize the mean of a response, whereas dual-response surface optimization (DRSO), a special case of RSM, considers not only the mean of a response but also its variability or standard deviation for optimization. Recently, a posterior preference articulation approach receives attention in the DRSO literature. The posterior approach first seeks all (or most) of the nondominated solutions with no articulation of a decision maker (DM)'s preference. The DM then selects the best one from the set of nondominated solutions a posteriori. This method has a strength that the DM can understand the trade-off between the mean and standard deviation well by looking around the nondominated solutions. A posterior method has been proposed for DRSO. It employs an interval selection strategy for the selection step. This strategy has a limitation increasing inefficiency and complexity due to too many iterations when handling a great number (e.g., thousands ~ tens of thousands) of nondominated solutions. In this paper, a TOPSIS-based method is proposed to support a simple and efficient selection of the most preferred solution. The proposed method is illustrated through a typical DRSO problem and compared with the existing posterior method.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.1-5
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• 2015

Recently, RF energy harvesting technology is a promising technology for small-size IoT(Internet of Things) devices such as sensor to resolve battery scarcity problem. When applied to existing cognitive radio networks, this technology can be expected to increase network throughput through the increase of cognitive user's operating time. This paper proposes a optimal channel-selection policy for RF energy harvesting CR networks model where cognitive users in harvesting zone harvest ambient RF energy from transmission by nearby active primary users and the others in non-harvesting zone choose the channel and communicate with their receiver. We consider that primary users and secondary users are distributed as Poisson point processes and contact with their intended receivers at fixed distances. Finally we can derive the optimal frame duration, transmission power and density of secondary user from the proposed model that can maximize the secondary users's throughput under the given several conditions and suggest future directions of research.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.13-25
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• 2004

In the online shopping environment, consumers suffer from the process of selecting an optimal supplier. Although comparison shopping agent-based web sites and consumers' online community sites support the selection process, they have limitations when considering diverse and dynamic purchase conditions as a whole, which is the cause of additional consumer effort for optimal supplier selection. This study provides a decision support model with a sensitivity analysis for selecting an optimal supplier considering purchase conditions as a whole. It screens suppliers with filtering factors and provides optimal suppliers through a sensitivity analysis from a Quadratic Programming model. We implemented a prototype system and showed that it could be an effective decision support system for selecting the optimal supplier in the online shopping environment.

• Journal of the Society of Naval Architects of Korea
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• v.52 no.5
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• pp.395-406
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• 2015

The Ballast Water Treatment System was developed to prevent the unintended transport of unwanted organisms from one region to another as demanded by the IMO (International Maritime Organization). Although various types of BWTS in the world have been developed until now and applied to various ships, there has been no systematic basis for its selection and installation. Currently, the system selection and installation are as per ship owner’s suggestion or by easy installation point of view by the shipyard. In order to organize, systemize and solve problems related to the selection and installation of BWTS, a definitive study has been performed to come up with the best alternative to derive value and criteria which were to be met for vessels which are to be equipped with BWTS. Multiple criteria were compared alongside each other during the course of this study. Accordingly an AHP (Analytic Hierarchy Process) analysis method for A, B and C companies were done for container ships with size 10,000 TEU and above. Equipment type for “A” company is “Filter, UV & TiO2” combined type. For “B” company it is “Filter & UV” combined type. Finally for “C” company it is “Electrolysis” type. Henceforth, the results of this study aims to come up with the optimum way to select the best and the most suitable BWTS for a certain vessel.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.215-225
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• 2020

In selecting a company of A-E service provider for a public construction project, public owners make widely use the evaluation method based on the quantitative criteria to emphasize transparency and fairness instead of putting more weighting on bidders' technical capability. The selection method and process to select technically better company has been in discussion to motivate company to build up their technical capability and better quality of service. This paper examined US laws and regulations related to evaluating and selecting an A-E company for public construction project in terms of principles, process, selection committee, evaluation methods, and contract management and so on. Then deduced several implications for domestic public owner to select the most adequate company for a certain architectural service through fair and efficient way. The major findings are technical capability based selection, emphasizing owner's role and responsibility, consideration of small and mid-sized company, debriefing, and post-service evaluation.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.235-247
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• 2013

The evolution of information technology and proliferation of hospital management and managerial applications of computing has led to change in the characteristics, uses and evaluations of software for the hospital management. With the growing proliferation of microcomputer use and the value-added for management strategies, more and more software has been massively developed, produced and distributed for the hospital industry. The user is faced with an increasingly difficult choice in the evaluation and selection of software. For many reasons, users frequently must rely on expert evaluations of the technical functions and quality of software. The objectives of this study are to provide selection criteria for an Electronic Medical Record (EMR) and to develop an evaluation framework for the Hospital Information Systems. The major findings of our study are as follows (1) the identification of EMR evaluation characteristics (2) the design and development of EMR selection model and (3) the evaluation of the importance for EMR characteristics using Analytic Hierarchy Process (AHP). We identify 6 characteristics and 22 sub-characteristics of the EMR, calculate their weights, and decide the best configuration. Especially, the AHP methodology can be applied to gather knowledge from multiple experts. Because AHP can 1) facilitate the participation of multiple experts 2) increase group productivity and therefore result in both quantitatively and qualitatively superior outcomes than that of a single individual's work 3) provide a mechanism for reconciling conflict from multiple expert 4) validate the acquired knowledge, providing consistency of facts, and 5) enhance the accuracy reliability of the acquired knowledge increase through of the reliability provided by consensus across multiple experts. Although some further research is required, the proposed model can be regarded as a basis for the selection of EMR.