• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.5
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• pp.714-721
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• 2018

This study proposes a risk evaluation method based on RAM and AHP data in order to prevent subjectivity of risk assessment. The risk assessment consist of Risk Likelihood(RL) and Risk Consequence(RC) in five levels. However, risk analysis of warships is hard to make a judgment because of small quantity production(Ship), long building period, equipment changes, complexity, various kinds of equipments, etc. The proposed RAM data and AHP analysis method are used to quantify each level quantitatively. RAM(MTBF) date is used to classify the RL, and AHP analysis is used to classify the RC. These scientific and data-based method will increase objectivity as well as efficiency of risk evaluation.

• Korean Management Science Review
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• v.29 no.3
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• pp.45-65
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• 2012

Test and evaluation of weapon system is an important task to evaluate the performance of overseas weapon system purchasing project. Especially, quantitative evaluation of performances is hardly completed in defense projects where multiple criteria are conflicted each other. In order to solve this problem, we apply Axiomatic Design (AD) and Inner Dependence AHP method. First, finite functional requirements (FRs) are categorized in hierarchy structure by selecting proper design parameters (DPs) to implement their corresponding FRs. If there are no ways to select DPs when design is coupled between FRs and DPs, then inner dependence is allowed to overcome the strict rule of independence in AHP. Second, the weights of DPs are calculated by applying both Inner Dependence AHP method for coupled design and normal AHP method for uncoupled or decoupled design. Finally, information axiom of AD is applied to the proposed weapon systems by calculating information contents for all parameters. Weapon system with minimum sum of information contents is considered as the best solution. The proposed method in this study should be used in multiple criteria decision making problems involving various conflicting criteria.

• Journal of Advanced Marine Engineering and Technology
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• v.22 no.3
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• pp.381-395
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• 1998

The purpose of this study is to determine the optimal gas turbine system for special purpose ships. First we generate critical evaluation criteria an construct their hierarchical structure. The criteria consist of qualitative ones as well as the economic factor. Then AHP is applied to solve the decision making problem AHP gibes good results different from those only by the economic evaluation methods. And during the analysis, the procedure produces many useful informations to the decision making. The results shows that AHP is an appropriate method for these kinds of problems such as the system selection.

• The Korean Journal of Applied Statistics
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• v.17 no.1
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• pp.119-134
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• 2004

Generally to estimate the priority vector in AHP, an eigen-vector method or a log-arithmic least square method is applied to pairwise comparison matrix itself. In this paper an estimating method is suggested, which is applied to pairwise comparison matrix adjusted by using the eigen-decomposition of skew-symmetric matrix. We also show theoretical background, meanings, and several advantages of this method by example. This method may be useful in case that pairwise comparison matrix is quite inconsistent.

• Journal of the Korean Society of Safety
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• v.24 no.6
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• pp.119-123
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• 2009

The purpose of this study is to verify the assessment of the risk index by the AHP method effective in the bridge construction. We compared that by the AHP method with the risk index by the accident analysis in the bridge construction. This method results in the useful tool deciding the assessment of the risk index according to work type in the bridge construction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.3
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• pp.51-62
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• 2013

We propose a method using QFD for design the hierarchical structure of AHP. This method provides definition for each area of House of Quality and design the hierarchical structure of the bottom-up QFD/AHP in which the upper hierarchy is designed through the classification of common characteristics with a focus on the lower hierarchy. Finally, we apply it to the development of an evaluation index for selecting heavy lifting service providers. This study has significance as the first instance of designing the archical structure of AHP after objectively verifying whether MECE condition, the basic requirement for AHP design, is satisfied.

• 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.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.81-92
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• 2010

This study focuses on the evaluation of an article about the AHP methodology in project area at 2001 edition. It is titled, "Application of AHP in project management," by K.M.A.S-S. Al-Harbi. This paper presents the Analytical Hierarchy Process (AHP) as a decision making method in project management. The evaluation by each section is based on the model by Fred Pyrczak (2008) in Evaluating Research in Academic Journals. This paper has an implication that evaluation method can be shown by quantitative numerical value.

• Journal of architectural history
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• v.23 no.4
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• pp.19-33
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• 2014

Recently, conservation and utilization of cultural heritage has been regarded as importance. So, various research papers about maintenance of the remains have been presented in many conferences. But most of researches have focused on introduction about maintenance methods and explanation about maintenance concepts of remains. And even in case of a few papers treated post-evaluation about maintenance of the remains the criteria of the evaluation has tended to somewhat subjective. So, the purpose of this study is to show the objective post-evaluation indexes which was developed by Delphi AHP methods. This research was proceeded in two stages. First, we arranged the evaluation index in a hierarchy to be made through the analyses about references and researches about maintenance of remains. 304 evaluation articles were elicited through the process. And then, elicited evaluation articles were classified with 'conservation' and 'utilization'. Second step was to figure out importance and validity of hierarchical evaluation articles with twice questionnaire surveys. This research used interval scale to comprehend validity and AHP method to evaluate relative importance of each other articles.

• Knowledge Management Research
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• v.13 no.5
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• pp.43-64
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• 2012

Emerging technologies have significant implications in establishing competitive advantages and are characterized by continuous rapid development. Efficient benchmarking is more and more important in the development of emerging technologies. Similar input level and importance are two necessary criteria need to be considered for emerging technology's benchmarking. In this study, we proposed a sequential use of self-organizing map(SOM), data envelopment analysis(DEA) and analytical hierarchy process(AHP) method for the stepwise benchmarking of emerging technology. The proposed method uses two-level SOM to cluster the emerging technologies with similar required input levels together, then, in each cluster, uses DEA-BCC model to evaluate the efficiencies of the emerging technologies and do tier analysis to form tiers. On each tier, AHP rating method is used to calculate each emerging technology's importance priority. The optimal benchmarking path of each cluster is established by connecting the emerging technologies with the highest importance priority. In order to validate the proposed method, we apply it to a case of biotechnology. The result shows the proposed method can overcome difficulties in benchmarking, select suitable benchmarking targets and make the benchmarking process more efficient and reasonable.