High-Accuracy Information-Rich Inventory Management Based on Discrete Convex Analysis
| Project/Area Number |
22710148
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Tokyo Metropolitan University (2013)
Advanced Institute of Industrial Technology (2010-2012) |
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Principal Investigator |
MORIGUCHI SATOKO 首都大学東京, 社会(科)学研究科, 准教授 (60407351)
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | OR / アルゴリズム / 数理工学 / 数理計画法 / 在庫管理 |
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| Research Abstract |
For discrete optimization problem, appearing in a variety of applications, it is hard to obtain an optimum solution efficiently in many cases. The aim of this research is to develop high-accuracy information-rich inventory management systems by using the theory of discrete convex analysis. Demonstration software for inventory system and discrete convex solvers are released. Also, this research revealed the relationship between convex extensibility and discrete Hessian matrices, which was not fully understood in general and some vague or imprecise statements had been made in the literature.
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Report
(4 results)
Research Products
(19 results)
