• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.97-112
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• 2013

The quality of the data is the most basic prerequisite for effective use of data. Problems and the resulting loss due to error data has emerged using case studies and a number of, to a national, quality certification system of the data has been enforced, you must manage to generate data study on the method for selecting the point of view of an organization's data CTQ is a very unsatisfactory state of affairs. Selected CTQ main data is subject to quality control in the organization, to develop criteria for CTQ data side of the business and IT so that it can be managed in a systematic manner, the proposed model, to filter the data accordingly presented in detail how to manage enterprise-wide CTQ data that can be quantified Te. By utilizing SPSS, factor analyzes, for which I used the AHP method for quantification. In particular, we present a framework of management measures along the maturity of the data in the organization due to the enforcement of authentic quality certification system of DB, utilizing the CTQ-DSMM model readily applicable to practice.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.149-161
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• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.63-68
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• 2014

This study show that the policy direction to invigorate smart education for special education based on the view of parents of students with disability through AHP methodology. The result show that development of smart contents, supporting infrastructure, supporting teaching and learning, arrangement for legal basis and building smart education network are relatively important policy ordered by weights. The analysis of weights of sub-factors indicates that various smart contents development considering inability characteristics, the developments of smart devices considering accessibility and preparing legal basis for financial support are important to invigorate smart education for special students ordered by weights.

• Clean Technology
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• v.26 no.3
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• pp.168-176
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• 2020

The introduction of the Korea toxics use reduction (TUR) program to build a clean society is generally evaluated based on social economic criteria. Among various techniques, benefit-cost analysis is the most commonly used. This method is focused on the calculation and comparison of all the benefits and costs attributable to the TUR program. However, since it is reasonable to consider not only economic criteria but also policy criteria in the process of evaluation, it is necessary to reflect on the criteria weights found in the benefits and costs. This study aims at developing a new evaluation technique to achieve this purpose and apply it to the Korean TUR program to be implemented in 2020. This study selected competitiveness, toxic substances' emission reduction ratio, and health improvement as policy criteria. The Analytic Hierarchy Process (AHP) technique was initially used to calculate the weight and then, based on the results, the concept of information entropy introduced by Claude Shannon was used to eliminate subjective bias. As a result of the study, it was found that the revised benefit-cost analysis considering the weights of the policy criteria, as well as the existing economic criteria, could be a reasonable alternative in evaluating the feasibility of TUR regulations for highly toxic substances.

• Journal of Radiation Protection and Research
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• v.19 no.2
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• pp.99-107
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• 1994

This study aims to introduce a prescriptive methodology to comprehensively support the analysis of decision process by the use of Saaty's Analytical Hierarchy Process for the optimization of radiation protection. The analytical Hierarchy Process for the optimization of radiation protection. The analytical process for the problem of selecting options among given protection alternatives is illustrated with the data of the uranium mine example in ICRP Publ. 55. This technique, unlike other conventional selection method, is considered to provide a useful tool for the protection manager with respect to its ease of use and simplification in the choice of optimal alternative associated with radiological protection.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.107-122
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• 2017

Nowadays, digital forensic experts are not only computer experts who restore and find deleted files, but also general experts who posses various capabilities including knowledge about processes/laws, communication skills, and ethics. However, there have been few studies about qualifications or competencies required for digital forensic experts comparing with their importance. Therefore, in this study, AHP questionnaires were distributed to digital forensic experts and analyzed to derive priorities of competencies; the first-tier questions which consisted of knowledge, technology, and attitude, and the second-tier ones which have 20 items. Research findings showed that the most important competency was knowledge, followed by technology and attitude but no significant difference was found. Among 20 items of the second-tier competencies, the most important competency was "digital forensics equipment/tool program utilization skill" and it was followed by "data extraction and imaging skill from storage devices." Attitude such as "judgment," "morality," "communication skill," "concentration" were subsequently followed. The least critical one was "substantial law related to actual cases." Previous studies on training/education for digital forensics experts focused on law, IT knowledge, and usage of analytic tools while attitude-related competencies have not given proper attention. We hope this study can provide helpful implications to design curriculum and qualifying exam to foster digital forensic experts.

• Journal of Navigation and Port Research
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• v.34 no.3
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• pp.229-234
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• 2010

The aim of this study is to select the import and export goods which contribute to activate the operation of port hinterland. The spatial ranges of this study are A-am 1 logistics complex and 4dock hinterland. The Factor Analysis(FA) and Analytic Hierarchy Process(AHP) are used as the methodologies. Eleven low evaluation factors including 'creation of traffic cargo volume' are selected by precedent studies and four high evaluation factors including 'effective management' are grouped through factor analysis. As the result of priority among low evaluation factors through AHP, 'creation of traffic cargo volume' is the most important factor. Moreover using the AHP, 'electronic component' is the most important item which activate the Port of Incheon and its hinterland. So cargos which have the potential to create traffic cargo volume such as 'electronic component' must be managed strategically and this study can be used as important index when people concerned attract items.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.97-109
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• 2017

Domestic vehicle penetration rate is growing at 3% per year, but consumers are increasingly buying used cars due to steady price hikes Nevertheless, the used car export market is expected to decline due to import regulations of major countries and the low grade environment of Used car export complex. Therefore, this study using Fuzzy-AHP was aimed to find operational factors of Used car logistics complex and establish a practical management plan of Used car logistic complex in incheon port. Fuzzy-AHP is the method that can be calculated weight of multi-level criteria and change linguistic ambiguity of human to Fuzzy Number. So it's able to propose the realistic decision making alternatives. As a result of the literacture reviews, present study focused on the analysis of the present situation of the logistics of the used car and the activation of the complex, suggested the activation plan and activation of the logistics complex. In the analysis of operational factors, logistic complex cost factors were found to be the most important factors by recording the weighted value of 0.306 in the above factors. The detailed factors were as follows: rent, accessibility, and logistics site size. It is necessary to compute competitive rent for the highly-advanced used car logistics complex, and to realize the rental support policy and to consider designating the free trade zone. In addition, it is necessary to expand the access infrastructure and secure the scale of the company for overseas buyers, and it is necessary to improve the overall government laws and introduce IT system for the future.

• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.174-183
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• 2007

Recently, the Korean Hotel market has expanded to Asia rapidly including China. However Korean hotels' competitiveness has weaken with Korean won's appreciation and increasing real estate cost. To cope with these problems, Korean hotels are varying and differentiating their services and adopting advanced information system such as ERP(Enterprise Resource Planning) System. ERP Systems requires large amount of cost and time, otherwise successful implementation is not guaranteed. Thus, It is necessary to analyze critical success factors and calculate effect before investment on the ERP system implementation. In this study, I surveyed a Five-star ranked Hotel, named R. To find a method of investment effect calculation. This research is conducted on the basis of previous studies and AHP(analytic hierarchical process), which is suggested by Saaty. Finally, This study presents a significant method of analysis and calculation on investment effect of Hotel's ERP system based on the Hotel R's case.

• Convergence Security Journal
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• v.20 no.1
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• pp.49-57
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• 2020

It is no exaggeration to say that we live with cyber threats every day. Nevertheless, it is difficult for us to obtain objective information about cyber threats and attacks because it is difficult to clearly identify the attacker, the purpose of attack, and the range of damage, and rely on information from a single source. In the preceding research of this study, we proposed the new approach for establishing Database (DB) for cyber attacks using Open Source Intelligence(OSINT). In this research, we present the evaluation factors for cyber threats among cyber attack DB and analyze the priority of those factors in oder to quantify cyber threats. We select the purpose of attack, attack category, target, ease of attack, attack persistence, frequency of OSINT DB, and factors of the lower layer for each factor as the evaluation factors for cyber threats. After selection, the priority of each factor is analyzed using the Analytic Hierarchy Process(AHP).