• Title/Summary/Keyword: Analytic Hierarchy Analysis

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Development of a structure analytic hierarchy approach for the evaluation of the physical protection system effectiveness

  • Zou, Bowen;Wang, Wenlin;Liu, Jian;Yan, Zhenyu;Liu, Gaojun;Wang, Jun;Wei, Guanxiang
    • Nuclear Engineering and Technology
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    • v.52 no.8
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    • pp.1661-1668
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    • 2020
  • A physical protection system (PPS) is used for the protection of critical facilities. This paper proposes a structure analytic hierarchy approach (SAHA) for the hierarchical evaluation of the PPS effectiveness in critical infrastructure. SAHA is based on the traditional analysis methods "estimate of adversary sequence interruption, EASI". A community algorithm is used in the building of the SAHA model. SAHA is applied to cluster the associated protection elements for the topological design of complicated PPS with graphical vertexes equivalent to protection elements.

Analysis on Information Security Manpower Policy by the Analytic Hierarchy Process (AHP를 이용한 정보보호인력 양성 정책 분석)

  • Kim Tae-Sung;Jun Hyo-Jung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5B
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    • pp.486-493
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    • 2006
  • As information threats to information systems diffuse, the information security becomes a major concern. Information security manpower who produce and implement information security products, and who are in charge of information security in organizations, has been important. Korean government has implemented various policies to promote the information security manpower. Those policies have been successful to supply enough number of information security manpower, but not successful to supply information security manpower to meet the various requirements of the manpower demand. In this study we adopt analytic hierarchy process(AHP) to analyze the priorities of information security technology categories to meet the demand. Results of the study suggest that the government should concentrate on promotion of manpower for the field of the 'System and Network Security Technology'.

A Study on the Method of Safety Condition Evaluation using Analytic Hierarchy Process (AHP를 이용한 기업별 안전평가 기법에 관한 연구)

  • Paik, Shinwon;Lee, Misun
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.3
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    • pp.85-89
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    • 2013
  • In the current domestic, many industrial accidents have happened. And these are analyzed according to several factors. But it is difficult that they evaluate their business safety. Thus, we conducted a study on business specific safety assessment techniques in order that business know their safety level and perform appropriative safety activities. Study methods are survey and AHP (Analytic Hierarchy Process). Each specific weighting factors to calculate the survey was conducted for safety and consulting experts (20 persons). Weight factor was used to AHP decision support as one of the ways through a number of alternatives to the ratings for the Minesota Multiphasic. Factors are each type of industry, specific industrial scale, disaster type and strength, worker age and tenure period, and region. First, survey was conducted with 20 professionals to estimate the weighting factors. Weights between factors using the AHP analysis tool based on the mean values were calculated. Second, last 3 years between the industrial accidents statistics were used to calculate the weights for each of the rating factors in the Occupational Safety and Health Agency. Grade weights between each factor which was based on the rating of each factor was calculated as the average of three years. Finally, the weights between each factor and the grade weights for each factor using the safety level of the enterprise were calculated so that you can evaluate the weighting.

IP-CCTV Risk Decision Model Using AHP (Cloud Computing Based) (AHP를 활용한 IP-CCTV 위험 결정 모델 (클라우드 컴퓨팅 기반으로))

  • Jung, Sung-hoo;Lee, Kyung-ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.1
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    • pp.229-239
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    • 2018
  • This paper analyzes the problems of existing CCTV and discusses cyber security problems of IP-CCTV in cloud computing environment. In order to reduce the risk of simply removing the risk associated with the provision of cloud services, the risk analysis and counter-measures need to be carried out effectively. Therefore, the STRIDE model as the Threat Risk Modeling is used to analyze the risk factors, and Analytic Hierarchy Process(AHP) is used to measure risk priorities based on the analyzed threats.

A Study on Evaluating the Competitiveness of Bakery Corporations (베이커리 기업의 경쟁력 평가모델개발)

  • Lee, Jae-Jin
    • Culinary science and hospitality research
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    • v.12 no.1 s.28
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    • pp.203-215
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    • 2006
  • This study tried to develop an estimation model on the competitive power as a method to understand a practical index on the competitive power in order to improve the competitiveness of domestic bakery corporations and look into their internal structure. The results of the practical analysis are summarized below. First, eight critical success factors, which are considered important in competitive power in bakery corporations, were derived from preceding studies and an expert meeting. Second, this study performed a questionnaire with eight derived factors for bakery managers and employees. Seven critical success factors suitable for bakery corporations were chosen through validity and reliability tests. Third, this study performed an AHP(Analytic Hierarchy Process) analysis in order to establish preference according to each factor and weight. The importance of factor concerned with the competitive power of bakery corporations according to the result of weight analysis appeared in order of customer resources, personnel resources, corporate images, material resources and qualities, technical capability, financial factors and pliability(time).

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Customer Perspective Analysis on Ubiquitous Healthcare Services

  • Lee, Yun-Mi;Han, Hyeon-Su
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.114-120
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    • 2008
  • While ubiquitous healthcare (u-health) services were expected to propagate along with conventional healthcare services, recent progress indicated rather limited market acceptance. In this paper, we investigated the fundamental causes of why the consumer acceptance level of u-health services has been low. We draw upon innovation adoption theories to analyze the consumer readiness of the typical u-health services. The comparative analysis between innovative u-health services and conventional services was performed using analytic hierarchy process (AHP). Subsequently, policy and business implications including technological breakthrough insights were discussed based on the customer perspective comparative adoption analysis. The propositions captured through this study provide useful insight to further studies on u-health services.

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Cost Benefit Analysis of CT and MRI Using the AHP (AHP를 이용한 CT 및 MRI의 비용편익분석)

  • Cho Keun-Tae;Kim Sung-Jo;Kim Sung-Min;Kim Yong-U;Kim Sung-Je;Cho Yong-Gon
    • Korean Management Science Review
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    • v.21 no.2
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    • pp.93-109
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    • 2004
  • The imports of used medical equipment such as CT. MRI have been rapidly increased every year. How to manage those medical equipment has been one of critical issues in the government sector. In this study, we demonstrate how benefit/cost analysis using the Analytic Hierarchy Process (AHP) can be applied to the comparison of used CT/MRI and new CT/MRI. The final results show that the new CT/MRI is more attractive than the used CT/MRI.

The Efficiency Analysis for DMU Using the Integration Method of DEA and AHP (DEA와 AHP 기법이 결합된 DMU의 효율성 분석)

  • Kim, Tae-Sung;Cho, Nam-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.2
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    • pp.1-6
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    • 2006
  • This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

A Study on the Priority Analysis of Government Support Policies for SOx Emission of Ships

  • Yang, Han-Na;Lee, Gwang-Un;Shin, Chang-Hoon
    • Journal of Navigation and Port Research
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    • v.43 no.2
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    • pp.86-92
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    • 2019
  • IMO has enacted a convention that air pollution due to emissions of ships and sulfur oxides emissions should be significantly reduced by 2020. Based on the current support policies, this work intended to draw up the government support plans required by the shipping companies. Analytic Hierarchy Process analysis was done with factors derived from brainstorming and literature studies. The analysis results showed that the cost factor was generally the most important criterion and the Financial Aid was relatively more important within this cost factor. The policy implications for the regulation of sulfur oxides emissions was provided.

A Study on the Development of AHP Analytic Tools (AHP 분석도구 개발에 관한 연구)

  • Kim, Dong-Kil;Choi, Sung-Ho;Han, Sung-Soo
    • 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.