• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.654-659
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• 2007

This study suggests a measure method for measuring variables that are used for hotel corporations' CRM performance. For this purpose, I present a combined method between factor analysis and AHP(Analytic Hierarchy Process) analysis. Factor analysis gives us a result that shows a group of highly correlated variables and another group of less correlated variables. Thus, factor analysis can only give information of factor categorization. Although researchers add ANOVA analysis or regression analysis, these efforts can not connect its results with factor analysis. Therefore, In hotel CRM performance analysis, calculation of each factor's importance is strongly required. For that reason, I suggest a method that combines AHP analysis with factor analysis for Hotel CRM performance measurement.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.240-241
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• 2012

The purpose of this study is to propose a development strategy and an activation plan of port hinterland. To do this, we design a Delphi/Fuzzy-AHP model using Delphi and Fuzzy-AHP.

• International Journal of Highway Engineering
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• v.8 no.4 s.30
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• pp.145-157
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• 2006

Generally, the method of the policy analysis has been used for making a policy decision of the development project of the road through the expert interview based on AHP. According to introducing PI, the study of the method of the integrating process for various opinion of the related groups is required. On this study I evaluate what is a difference between the results of integrated process and the AHP analysis on what is major considering factor in decision-making process. From the analysis, each evaluate factor is in level of significance by ANOVA. First, there is a significance level difference between Group A, C and Group B Second, there is also a significance level difference on the result of AHP analysis for each group in order to evaluate by integrated method. Finally, the method of AHP analysis which considers priority factor is expected as to be useful tool on decision-making of various group.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.05b
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• pp.1061-1066
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• 1995

우리나라의 후행 원전연료주기 정책은 경제성이나, 기술성, 환경 영향 등 여러가지 계량, 비계량 지표들을 면밀히 분석하여 궁극적으로 국민의 복지와 민족의 번영에 이바지 할 수 있도록 선정되어야 한다. 본 논문에서는 AHP(Analytic Hierarchy Process) 방법을 후행 원전연료주기 정책 수립에 이용할 수 있도록 우리나라에서 가능한 후행 원전연료주기 시나리오의 몇가지 예를 제시하였으며, 정책 결정요소로서 에너지 안보와 경제성, 기술성, 국내 사회정치, 국제관계 등 5개의 주기준과 주기준에 종속되는 19개의 보조기준을 선정하였는데, 적절한 후행 원전연료주기 정책대안들을 선정하여 AHP 방법에 따라 정책결정기준들을 평가한다면 후행 원전연료주기 정책수립과정에 AHP 방법을 효과적으로 이용할 수 있을 것으로 기대된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5097-5106
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• 2010

Two perspectives on developing better decision capabilities for a warranty system can be identified: one involving the inclusion of a 'learning' module and the other the inclusion of a 'prioritization' capability. This paper demonstrates how a warning process can be included in a warranty system by coupling with a neural network's learning capabilities. In addition to the neural network, a method is employed for assigning priorities to warning criteria by using the analytic hierarchy process (AHP). Thus, it is possible to construct an integrated system with three components: the warranty system, the AHP module, and the neural network system. A case study is provided to enhance the accuracy of warning/detection judgment in a warranty system for automobile companies, having many factors related to the warranty system.

• Management & Information Systems Review
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• v.39 no.2
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• pp.145-162
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• 2020

This study examines problems with using the conventional analytic hierarchy process (AHP) method and proposes a method of weight adjustment as a modification of AHP. AHP is a method for transforming complex decision problems into a hierarchal structure, which is composed of elements in the upper and lower levels and then using pairwise comparisons to evaluate these elements and subsequently to obtain their relative weights. The elements' relative importance is reliable if the elements in the lower hierarchical levels (sub factors) that comprise each element in the upper hierarchical level (primary factor) are equal in number. In other words, if the number of sub factors is different for each primary factor, a serious error is expected as a result. Therefore, this study proposes a modification of AHP that can avoid such an error when AHP is used. Specifically, an error that arises from different number of sub factors (matrix size) can be overcome by making the number of sub factors identical for each primary factor. The resulting model has been validated through the applications in different AHP hierarchical structures.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.281-288
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• 2009

The purpose of this paper is to provide the statistical models for landslide prediction through quantification and AHP methods. Quantification method is a statistical method of providing quantity to qualitative variables by analyzing the observed data. In this paper, we suggest the quantification process based on the results of cannonical correlation analysis. In contrast with the quantification method which is based on given data the AHP(Analytic Hierarchy Process) technique is a kind of method based on questionaire data which is usually taken from professionals. We analyze both the real data(provided from KIGAM) and questionaire data collected from professionals of various related area. We developed two kinds of evaluation table which provide the scores of land slide possibility and the logistic model providing the probability of occurring landslide. Finally we compare the performance and evaluate the stability of the suggested two models.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.245-265
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• 1999

MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.73-87
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• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.10a
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• pp.253-256
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• 2005

정보기술의 관점에서, 기업 가치사슬상의 내/외부적 협력을 협력을 구현하는 방법으로ASP(Application Service Provider)를 통한 IT 아웃소싱(outsourcing)이 차세대 가상기업의 핵심 요소가 될 것으로 전망된다. 이러한 맥락에서 본 연구는 ASP 의 서비스 제공에 관한 성능을 향상시킬 수 있는 방법으로, HoQ와 AHP를 통합한 방법론을 제공한다. 그리고 이러한 통합모형을 적용하여 고객만족의 관점에서 ASP 서비스 개선을 위한 핵심 기능요소(functional elements)를 찾아 내었다. ASP 서비스의 지속적인 개선은 점차 심화되어 가는 경쟁에서 생존하기 위해 최우선적으로 중요한데, 본 연구의 HoQ/AHP 통합모형은 서비스 개선을 전략적으로 구현하는 좋은 도구가 될 것이다.