• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.162-169
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• 2015

In this research, technology innovation capability evaluation model for small and medium enterprises was developed. To develop technology innovation capability evaluation model, two analytic technic was used. First one is AHP (Analytic Hierarchy Process) to give weight to each main index. Second one is fuzzy set theory to represent ambiguous index to numerical value. Finally, technology innovation capability evaluation model was achieved in combination with the same weight to AHP analysis and fuzzy set theory. With these results, small and medium enterprises can know important point in terms of strengthening the innovation capability evaluation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.905-908
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• 2008

The BTL project, 4 years since its operation, has benchmarked the PFI Project in Japan and has been introduced. Given the evaluation step to select a preferred bidder, in a technological factor, the basic plans are corrected and complemented, whereas in a price factor, the low price bidding system is being enforced. There is concern that how to select preferred bidders and how to operate project costs during operation and management period may be problematic. Thus, in this study, using the Analytic Hierarchy Process, the method of deciding the pribrity to select preferred bidders in an early stage of the project and the evaluation model to evaluate the validity of BTL project expenses in process of project enforcement are established. Targeting the group. composed of experts who have experiences in the BTL project. Then, the levelling of evaluation factors and grouping have been carried out as following: LCC analysis and disbursement for government including two more detailed factors.

• Journal of Navigation and Port Research
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• v.28 no.9
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• pp.775-781
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• 2004

This study aims at helping Chinese container liners keep constant competitiveness in the heated competition Analytic Hierarchy Process (AHP), a mathematics-based, multi-criteria decision analysis methodology is applied in the study to the performance evaluation on the three biggest Chinese container liners: COSCON, CSCL, and Sinolines. Through the final results of AHP model, we completely learn the current situation of Chinese liners, therefore they are able to enhance the competitive advantage from modifying operation strategy and competition strategy in accordance with the shipping market.

• Korean Management Science Review
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• v.13 no.3
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• pp.75-90
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• 1996

This paper presents an improved method of the Analytic Hierarchy Process (AHP) when customers are to select the best automobile purchase models. In order to support group decisions and as a different procedure of the conventional AHP, we combine the AHP model with a spreadsheet model that applies the Likert's rating scheme to each alternative. We only consider individual pairwise comparison matrices where the consistency ratio (C.R.) is less than or equal to 0.2. Finally, we regard the weight of each decision maker as a reciprocal number of C.R. As a case study we prioritize three passenger cars of medium size in the domestic market. The major evaluation criteria include:exterior or interior features, performance, safety, pricing, salesman, and after service.

• Proceedings of the KOR-KST Conference
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• 1999.10a
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• pp.3-8
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• 1999

• Journal of Information Technology Services
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• v.11 no.1
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• pp.155-171
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• 2012

With the continuous and outstanding development of information technology(IT), human being is coming to the new computing era which is called cloud computing. This era brings lots of huge benefits also at the same time release the resources of IT infrastructure and data boom for man. In the future no longer, most of IT service providers, enterprises, organizations and systems will adopt this new computing model. There are three main deployment models in cloud computing including public cloud, private cloud and hybrid cloud; each one also has its own cons and pros. While implementing any kind of cloud services, customers have to choose one of three above deployment models. Thus, our paper aims to represent a practical framework to help the adopter select which one will be the best suitable deployment model for their requirements by evaluating each model comprehensively. The framework is built by applying the analytic hierarchy process(AHP), namely benefit-cost-opportunity-risk(BCOR) model as a powerful and effective tool to serve the problem. The gained results hope not only to provide useful information for the readers but also to contribute valuable knowledge to this new area. In addition, it might support the practitioners' effective decision making process in case they meet the same issue and have a positive influence on the increase of right decision for the organization.

• Korean Management Science Review
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• v.19 no.2
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• pp.139-153
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• 2002

The Analytic Hierarchy Process (AHP) is known as a very useful decision-making model developed for obtaining the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. In this paper, we propose a method to reflect the reliability of evaluators in the process of pairwise comparison. This method is applied to the evaluation of aerospace technology alternatives. We have conducted a questionnaire survey for S company that is one of the representative aerospace companies in Korea. A questionnaire was designed for obtaining both the priority with considering the reliability of evaluators' importance weights (the modified AHP priority) and the priority with assuming equally reliable evaluators' importance weights (the AHP priority) in order to compare the priority derived by each of two methods. The result shows that there exists the difference hard to neglect between the final priorities gained by two methods.

• Knowledge Management Research
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• v.10 no.2
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• pp.65-84
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• 2009

The purpose of this study is to develop Meta Evaluation Indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process and evaluation outcome. And fifty two indicators for this meta evaluation were developed by experts who performed evaluations for Defense R&D Programs. The reliability of components and items was verified by Cronbach's ${\alpha}$ coefficient. It was over 0.6 in all areas. The validity of components and items was verified by Factor Analysis. Analytic Hierarchy Process method was used in assigning the evaluation weight. The survey of twenty two evaluators participated in Defense R&D Programs showed that the Consistency Ratio was under 0.1 in evaluation components and items. In this study, an objective and reasonable set of Defense R&D Meta Evaluation Indicators was developed to increase the responsibility of Defense R&D Programs and improve the quality of evaluation results.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.139-152
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• 2008

Recently organizations identify information security as one of essential means for gaining competitive advantage. However, they do not actively increase investment in this area because they consider spending for information security as a cost rather than an investment. This is because organizations don't have a clear understanding of information security objectives which can be achieved through investment, and they don't have criteria for alternatives which can be considered in information security investment decision-making. In this paper we propose to model the decision-making process of information security investment by the AHP (Analytic Hierarchy Process). The results will show that availability is the most important criterion for the decision of information security alternatives, and intrusion detection is the most important information security alternative. We hope that the results of this paper provide a guideline for clear decision-making in information security investment.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.127-134
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• 2012

Plant safety management that is enforcing introducing more than 95% in domestic manufacturing industry is using total plant efficiency by the evaluation index, and as a result, can see a lot of examples that plant productivity, economy and safety is increased. The efficient safety estimation for a business should analyze an accident data by considering every possible and potential factor. This study's purpose centers plant safety management activities that is management system for plant production and safety efficiency's maximization, plant evaluation system that plant safety management activities factor(reliability, maitainability, safety, service quality) that is enforcing in manufacturing industry can develop evaluation model that can evaluate qualitative activities by quantitative activities in process that maximize plant safety management wishes to do design.