| Project/Area Number |
20510148
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Aichi Institute of Technology |
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Principal Investigator |
OHNO Katuhisa Aichi Institute of Technology, 経営学部, 教授 (50026118)
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| Co-Investigator(Kenkyū-buntansha) |
TAMURA Takayoshi 名古屋工業大学, 工学研究科, 教授 (70093101)
NAKADE Koichi 名古屋工業大学, 工学研究科, 教授 (50207825)
IWASE Masaharu 文京学院大学, 経営学部, 非常勤講師 (70213288)
SUZUKI Tatuo 愛知工業大学, 経営学部, 教授 (00064949)
KONDO Takashi 愛知工業大学, 経営学部, 教授 (60121357)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | サプライチェーンの最適制御 / かんばん方式の最適設定 / ニューロDPアルゴリズム / 強化学習 / 近似DP / シミュレーション / マルコフ決定過程 / 確率最適制御 / SCMの最適化 / 一般化かんばん方式 / 先行需要情報 |
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| Research Abstract |
This research intends to improve the neuro-dynamic programming algorithm SBMPIM (simulation-based modified policy iteration method) which has been developed by the researcher for solving an optimal stochastic control problem of a practical just-in-time supply chain. A combination of the SBMPIM and the optimized kanban system has yielded an improved SBMPIM with centesimal computation time.
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