• 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.

• Journal of Navigation and Port Research
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• v.39 no.6
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• pp.499-506
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• 2015

To analyze the port choice hierarchy, factorial and AHP analysis were conducted based on the survey for shippers using west coastal ports. As the result of analysis with 17 factors, 6 main factors; port service, port operation and geographical condition, connectivity to hinterland, port cost, accessibility and facilities were chosen. Based on this, AHP and correlation analysis of each factor were conducted. And the results were shown as cost, service, facility, connectivity, accessibility and operation in order. In addition, several ways for incentive program, the most important factor based on AHP analysis, to influence shippers around west coastal port were reviewed. As the result of review for the incentive program of domestic container ports, it was shown that three ports, Gun-san, Dae-san and Mok-po, offer incentive to shipper while two ports, Pyeong-tak and Dang-jin, do not. Therefore, the former three ports need to reinforce the existing incentive program while the latter ones introduce it.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.101-110
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• 2018

Analytic Hierarchy Process (AHP) is a systematic and objective decision method that stratifies multiple criteria to determine various evaluation factors' order of priority. Since AHP requires several stages of analysis with complicated attributes, they normally rely on computer programs for the execution of such analyses. However, the existing AHP analytic tools carry the inconvenience of having to repeatedly input massive amounts data generated in every stage. This repetitious data entry process results in prolonged analysis times and higher possibility of errors, leading to decreased reliability of the results. Thus, in this study, we develop an analytic tool that effectively simplifies the data entry process in AHP analysis, for the purpose of reducing analysis times and increasing the reliability of the results.

• Health Policy and Management
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• v.20 no.4
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• pp.74-96
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• 2010

The purpose of this empirical study is to evaluate efficiency of the regional public hospitals, using DEA(Data Envelopment Analysis). to do this, we design a DEA-AR/AHP Hybrid model to evaluate efficiency of 34 Regional Public Hospitals. the proposed model is developed by adding Acceptance Region(AR). using analytical hierarchy process(AHP). this model is compared with those of typical DEA models. Financial data used in this study were obtained from Database of the Korea Association Regional Public Hospital and analyzed using DEA model. As a result of analysis, This study found that the DEA-AR/AHP Hybrid model was superior to those typical DEA models in determining the priority among efficient hospitals. the result of this study can provide helpful information to evaluate the efficiency of public hospitals for efficient operational management, to develop more precise measurement for the priority of the efficient hospitals.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.276-283
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• 2015

Pedestrians have been exposed to dangerous traffic environments, in which walking spaces in a city decrease without improved facilities even though cars increase. Such poor walking environments are deadly dangerous to the vulnerable as well as the non-vulnerable. This study analyzed the road facilities use characteristics according to a type of vulnerability in order to improve traffic safety and walking environment for vulnerable pedestrians. This study surveyed the vulnerable in terms of issues that they encountered on existing walkways and conducted the analytic hierarchy process (AHP), which took all quantitative and qualitative variables into account. The results of Level-3 analysis were showed that the elderly and the disabled were partially similar; both felt most inconvenient at enter-exit sections, steep walkway and bad paved walkway. Unlike those results, people with children and/or infants answered that overpass or underpass walkways without lifting facilities were most inconvenient walking environments.

• Journal of Korean Society of Transportation
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• v.35 no.5
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• pp.375-384
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• 2017

The aim of this study is to develop evaluation indicators for parking environment in residential areas. Recently, lots of local governments in korea are implementing projects for parking environment improvement. However, there are no indicators for parking environment evaluation except for the rate of parking supply by registered cars. So, it is really difficult to prioritize projects and monitor the result of projects. Therefore, this study presents six indicators for parking environment evaluation and its weights using AHP through the survey. The result of this study proposed the assessment model for parking environment based on indicators and it was found that actual data in Incheon can be simulated in reality. And this result also is expected to help monitoring and selecting projects.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.93-98
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• 2012

This study was to analyze the influences of various factors on the u-health service. Data was surveyed from experienced of u-Health service sectors. We measured legal support, IT-infra, user education, the user education, and the u-Health solution, are the critical success factors for the u-Health service. Also we evaluated u-Health services by survey data from the users. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to measure the weights among these factors. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The results of this paper could be the valuable references for the policy making process of the u-Health system in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.9
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• pp.1737-1744
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• 2009

This study calculated the relative importance between evaluation factors of websites focused on culture and tourism in J region by 3C_D_T evaluation model of website. That is, this paper was analyzed by AHP (analytic hierarchy process) and calculated the relative weights and preference. In conclusion, this study showed that content was the most important factor and proposed the improvement planning through sensitivity analysis.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.20 no.4
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• pp.509-515
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• 2011

When a manufacturing system is designed, various kinds of evaluation methods are used for selecting the best alternative. Net present value, inner rate of return and payback period are popular quantitative measures for the economic assessment, but other qualitative measures should be considered for evaluation. The analytic hierarchy process(AHP) has been used as the popular method for the multi criteria decision making problem that considers both quantitative and qualitative criteria. This paper explains the process of economic assessment, and how to use the AHP for evaluating the designs of the assembly lines for lens module installed in mobile phone.

• Journal of the military operations research society of Korea
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• v.28 no.1
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• pp.83-96
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• 2002

The Analytic Hierarchy Process (AHP) is well suited to group decision making and offers numerous benefits as a synthesizing mechanism in group decisions. To date, the majority of AHP applications have been in group settings. One reason for this may be that groups often have an advantage over individual when there exists a significant difference between the importance of quality in the decision and the importance of time in which to obtain the decision. Another reason may be the best alternative is selected by comparing alternative solutions, testing against selected criteria, a task ideally suited for AHP. In general, aggregation methods employed in group AHP can be largely classified into two methods: geometric mean method and (weighted) arithmetic mean method. In a situation where there do not exist clear guidelines for selection between them, two methods do not always guarantee the same group decision result. We propose a simulation approach for building group consensus without efforts to make point estimates from individual diverse preference judgments, displaying possible disagreements as is natural in group members'different viewpoints.