Studies on optimization of SCM by the generalized kanban system and neuro-dynamic programming
| Project/Area Number |
20510148
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Social systems engineering/Safety system
|
|---|
| Research Institution | Aichi Institute of Technology |
|---|
Principal Investigator |
OHNO Katuhisa Aichi Institute of Technology, 経営学部, 教授 (50026118)
|
|---|
| 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)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| 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)
|
|---|
| 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 |
|---|
| 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.
|
Report
(4 results)
Research Products
(36 results)
