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      A Study on the Government's Investment Priorities for Building a Supercomputer Joint Utilization System

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      https://www.riss.kr/link?id=A108770057

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      다국어 초록 (Multilingual Abstract)

      The purpose of this paper is to analyze the Korean government’s investment priorities for the establishment of a supercomputer joint utilization system using AHP. The AHP model was designed as a two-layered structure consisting of two areas of specialized infrastructure, a one-stop joint utilization system service, and four evaluation items for detailed tasks. For the weight of each evaluation item, a cost efficiency index considering the annual budget was developed for the first time and applied to the weight calculation process. AHP analysis conducted a survey targeting supercomputer experts and derived priorities with 22 data that had completed reliability verification. As a result of the analysis, the government's investment priority was high in the order of dividing infrastructure for each Specalized Center and building resources in stages. In the future, the analysis results will be used to select economic promotion plans and prepare strategies for the establishment of the government's supercomputer joint utilization system.
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      The purpose of this paper is to analyze the Korean government’s investment priorities for the establishment of a supercomputer joint utilization system using AHP. The AHP model was designed as a two-layered structure consisting of two areas of speci...

      The purpose of this paper is to analyze the Korean government’s investment priorities for the establishment of a supercomputer joint utilization system using AHP. The AHP model was designed as a two-layered structure consisting of two areas of specialized infrastructure, a one-stop joint utilization system service, and four evaluation items for detailed tasks. For the weight of each evaluation item, a cost efficiency index considering the annual budget was developed for the first time and applied to the weight calculation process. AHP analysis conducted a survey targeting supercomputer experts and derived priorities with 22 data that had completed reliability verification. As a result of the analysis, the government's investment priority was high in the order of dividing infrastructure for each Specalized Center and building resources in stages. In the future, the analysis results will be used to select economic promotion plans and prepare strategies for the establishment of the government's supercomputer joint utilization system.

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      참고문헌 (Reference)

      1 Arunraj, N. S., "Risk-based maintenance policy selection using AHP and goal programming" 48 (48): 238-247, 2010

      2 Liu, F. P., "On Consistency in AHP and Fuzzy AHP" 5 (5): 128-147, 2017

      3 Li, X., "Improved group AHP method and its group coordination statistical analysis" 1998 (1998): 45-48, 1998

      4 Banwet, J., "Evaluating performance of national R&D organizations using integrated DEA-AHP technique" 57 (57): 370-388, 2008

      5 Radevito, A., "Determining policy recommendations towards electric vehicles incentives in Jakarta using AHP-Entropy" 927 (927): 1-12, 2021

      6 Rimantho, D., "Decision Making Strategy For Decreasing The Potential Hazards of Work Accidents at Division R&D Using SWOT And AHP Methods" 528 : 27-29, 2019

      7 Feng, Y. J., "An AHP/DEA method for measurement of the efficiency of R&D management activities in universities" 11 (11): 181-191, 2004

      8 Vellore, R. C., "An AHP application to computer system selection" 15 (15): 83-93, 1991

      9 Shim, H. W., "A Study on the Designation Institution for Supercomputer Specialized Centers in Republic of Korea" 14 (14): 306-312, 2023

      10 Altuzarra, A., "A Bayesian priorization procedure for AHP-group decision making" 182 (182): 367-382, 2007

      1 Arunraj, N. S., "Risk-based maintenance policy selection using AHP and goal programming" 48 (48): 238-247, 2010

      2 Liu, F. P., "On Consistency in AHP and Fuzzy AHP" 5 (5): 128-147, 2017

      3 Li, X., "Improved group AHP method and its group coordination statistical analysis" 1998 (1998): 45-48, 1998

      4 Banwet, J., "Evaluating performance of national R&D organizations using integrated DEA-AHP technique" 57 (57): 370-388, 2008

      5 Radevito, A., "Determining policy recommendations towards electric vehicles incentives in Jakarta using AHP-Entropy" 927 (927): 1-12, 2021

      6 Rimantho, D., "Decision Making Strategy For Decreasing The Potential Hazards of Work Accidents at Division R&D Using SWOT And AHP Methods" 528 : 27-29, 2019

      7 Feng, Y. J., "An AHP/DEA method for measurement of the efficiency of R&D management activities in universities" 11 (11): 181-191, 2004

      8 Vellore, R. C., "An AHP application to computer system selection" 15 (15): 83-93, 1991

      9 Shim, H. W., "A Study on the Designation Institution for Supercomputer Specialized Centers in Republic of Korea" 14 (14): 306-312, 2023

      10 Altuzarra, A., "A Bayesian priorization procedure for AHP-group decision making" 182 (182): 367-382, 2007

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