• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.164-175
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• 2017

Dual response surface optimization (DRSO) attempts to optimize mean and variability of a process response variable using a response surface methodology. In general, mean and variability of the response variable are often in conflict. In such a case, the process engineer need to understand the tradeoffs between the mean and variability in order to obtain a satisfactory solution. Recently, a Posterior preference articulation approach to DRSO (P-DRSO) has been proposed. P-DRSO generates a number of non-dominated solutions and allows the process engineer to select the most preferred solution. By observing the non-dominated solutions, the DM can explore and better understand the trade-offs between the mean and variability. However, the non-dominated solutions generated by the existing P-DRSO is often incomprehensive and unevenly distributed which limits the practicability of the method. In this regard, we propose a modified P-DRSO using multiple objective genetic algorithms. The proposed method has an advantage in that it generates comprehensive and evenly distributed non-dominated solutions.

• Journal of Korea Technology Innovation Society
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• v.19 no.4
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• pp.822-847
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• 2016

The sustainable energy has globally become more important to maintain the future industry. Of various new renewable energy types, hydrogen energy had drawn a lot of attention as clean energy. Therefore, this study applied SWOT-AHP analysis to establish a strategy for the infrastructure of hydrogen energy industry. It drew the factors required to establish the infrastructure of hydrogen energy industry based on the literature review and experts' opinions were surveyed to redesign SWOT Matrix. The AHP analysis is performed to obtain the relative importance of developed factors by pairwise comparisons. Based on research results by applying SWOT analysis and AHP, this paper proposes the development of strategic plan for infrastructure of hydrogen energy industry.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.112-117
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• 2007

사이버 침해란 정보시스템의 취약한 부분을 공격하여 시스템 내부에 침입하거나 시스템을 마비/파괴하는 등의 사고를 유발하는 모든 행위를 말한다. 이러한 사이버 침해의 피해를 줄이기 위해 국내외 많은 연구 기관과 업체에서는 침입탐지시스템과 같은 정보보호 기술을 연구 개발하여 상용화하고 있다. 그러나 기존의 정보보호 기술은 이미 발생한 침해를 탐지하여 피해의 확산을 막는 데만 한정적으로 사용되고, 침해의 발생 가능성을 예측하지는 못하기 때문에 점차 첨단화, 다양화되고 있는 사이버 침해에 대응하기 힘들다는 문제점을 갖는다. 본 논문에서는 보안 취약점을 이용한 사이버 침해를 대상으로 전문가 설문을 통해 사이버 침해의 발생 가능성을 예측하는 방법을 제안하고, 이를 위한 사이버 침해 예측 항목을 추출하였다. 예측 항목 추출은 3 단계로 구성되며, 첫 번째 단계에서는 기존 연구와 사례 분석을 통해 예측 항목의 계층 구조를 생성한다. 두 번째 단계에서는 첫 번째 단계를 통해 생성된 예측 항목들을 델파이 방법을 통해 개선하여 최적의 예측 항목을 결정한다. 마지막 단계에서는 각 항목들에 대한 쌍대 비교 설문을 진행하여 항목 간 가중치를 추출한다.

• Journal of Korean Society for Quality Management
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• v.42 no.4
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• pp.685-700
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• 2014

Purpose: The purpose of this paper is to develop a systematic weighting procedure based on process capability indices method applying weighted mean squared error minimization (WMSE) approach to dual response surface optimization. Methods: The proposed procedure consists of 5 steps. Step 1 is to prepare the alternative vectors. Step 2 is to rank the vectors based on process capability indices in a pairwise manner. Step 3 is to transform the pairwise rankings into the inequalities between the corresponding WMSE values. Step 4 is to obtain the weight value by calculating the inequalities. Or, step 5 is to obtain the weight value by minimizing the total violation amount, in case there is no weight value in step 4. Results: The typical 4 process capability indices, namely, $C_p$, $C_{pk}$, $C_{pm}$, $C_{pmk}$ are utilized for the proposed procedure. Conclusion: The proposed procedure can provide a weight value in WMSE based on the objective quality performance criteria, not on the decision maker's subjective judgments or experiences.

• Journal of the Korean Data and Information Science Society
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• v.20 no.1
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• pp.49-55
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• 2009

A cooperative game often arises from domination problem on graphs and the core in a cooperative game could be the optimal solution of a linear programming of a given game. In this paper, we define a {k}-fractional domination game which is a specific type of fractional domination games and find the core of a {k}-fractional domination game. Moreover, we may investigate the balancedness of a {k}-fractional domination game using a concept of a linear programming and duality. We also conjecture the concavity for {k}-fractional dominations game which is important problem to find the elements of the core.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.921-933
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• 2016

In this paper, we consider the comparisons of the personal preferences of analytic hierarchy process (AHP) and conjoint analysis (CA) which contain very relatively small number of alternatives. However, a direct performance comparison is not easy because these two methods have a much different process to achieve the final decision. Therefore, we adopt a validity and reference method with empirical case study for cosmetics preference of female college students. In case study, conjoint analysis has the merit of measuring internal validity; however, AHP has the merit of measuring predictive validity.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.291-308
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• 2011

The success of a target of 'low-carbon green growth' depends on whether installing energy-saving capital would result in an increase in industry's productivity growth. Defining total factor productivity from a dual cost function, this paper estimates the contribution of energy efficiency investment to productivity growth by analyzing the sources of growth of productivity index for the primary metal industries. Empirical results show that, on average, energy efficiency investment increased the annual rate of productivity growth by 1.16 percentage points over th period 1982~2006. In addition, The scale effect positively affected the contribution of energy efficiency investment on productivity growth.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.353-357
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• 2008

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management processes identification, analysis and response. Especially, the analysis process is important to objectively identify importance and priority among risk factors. The purpose of this study is to develop the effective analysis process by studying and supplement the problem of the AHP analysis method. The study provides a analysis process to use the PROMETHEE analysis method proposed.

• Environmental and Resource Economics Review
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• v.19 no.3
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• pp.633-658
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• 2010

In this paper, we estimate the Translog cost function in Korean manufacturing, using capital (K), labor (L), material (M), electricity (E), fuel (F) data over the period from 1970 to 2005. Especially, this paper investigates the impact of imposing concavity in the estimation of a Translog cost function. Although the value of log-likelihood is somewhat reduced in a concavity imposed function rather than a function which is not, a concavity imposed function satisfies regularity conditions (monotonicity, positivity, concavity) at all data points. We also calculate price elasticities using a concavity imposed Translog cost function. Electricity complements capital so electricity demand increases as capital demand increases. Meanwhile, electricity substitutes labor, fuel, and material. These results show that Korean manufacturing experienced a structural change of increase in electricity demand.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.965-968
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• 2008

This study is interested in modeling the selection of optimal repair materials in view of the qualitative evaluation. In order to architecting the evaluation model of various repair alternatives, Analytical hierarchy process techniques was applied to this study. It is composed of aesthetics, easy-to-application, economical efficiency, and environment-friendly properties in upper level. Among the qualitative evaluation items, Environment-friendly properties and execution cost included in economical efficiency is highly weighted. It was concluded that the evaluation model by this study is very useful to choose the best alternative among various repair materials.