| Project/Area Number |
62550325
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
船舶抵抗・運動性能・計画
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| Research Institution | University of Osaka Prefecture, college of Engineering |
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Principal Investigator |
TOYAMA Takashi (1988) Lecturer, University of Osaka Prefecture, 工学部, 講師 (20081391)
田口 賢士 (1987) 大阪府立大学, 工学部船舶工学科, 教授 (40081385)
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| Co-Investigator(Kenkyū-buntansha) |
西村 ミチコ 大阪府立大学, 計算センター, 助教授
KISHI Mitsuo Lecturer & Dr. Eng., University of Osaka Prefecture, 工学部, 講師 (00145814)
NISHIMURA Michiko Associate Professor & Dr. Sci., University of Osaka Prefecture
外山 嵩 大阪府立大学, 工学部船舶工学科, 講師 (20081391)
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| Project Period (FY) |
1987 – 1988
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| Project Status |
Completed (Fiscal Year 1988)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1988: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1987: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | Marine transportation / Demand forecasting / Input-output analysis / System dynamics / Optimization / Modelling / Neural networks / モデリング / 輸送システム / 内航輸送 / 発展途上国 / 組合せ最適化 / システムダイナミックス / ニューラルネットワーク |
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| Research Abstract |
Due effort in this study is paid to establish a consistent design procedure applied to the planning of marine transportation system which is the upper stream information for ship design.
During the two-year plan, the study were carried out on the following items.
1. To elaborate appropriate methods for anlysing the structure of marine transportation system, modelling the system, and forecasting interregional marine transportation demand, 2. To prepare a classfication method to utilize the data bases relating to the problem, and 3. To establish an consistent design procedure for the optimization of marine transportation system including optimum fleet of vessels concerned.
The results of the study are: a. As for the method for forecasting marine transportation demand, both the input-output analysis and the system dynamic analysis were found to be most appropriate, and an original modelling support system for system dynamics was designed. b. As for the method to utilize the knowledge data bases, a simple hierarchical conceptual clustering method was proposed using artificial Intelligence techniques. c. A normative design procedure for the optimization of marine transportation system, especially for the vehicle routing problem, was proposed, and an algorithmic procedure with neural networks for solving combinatorial optimization problems was developed. d. To verify the above results, the model proposed is due to be applied to Indonesia.
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