Desining Logistics Systems based on Multi-scale IT Service
| Project/Area Number |
23500272
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
DONG FANGYAN 東京工業大学, 総合理工学研究科(研究院), 助教 (30432024)
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| Co-Investigator(Kenkyū-buntansha) |
HIROTA Kaoru 東京工業大学, 総合理工学研究科, 教授 (50130943)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 感性工学 / 計算知能 / ファジィ理論 / 物流最適化 / ファジィ近傍 / 感性情報 |
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| Research Abstract |
To construct a logistics system based on multi-scale IT service, a method is proposed by fusing with fuzzy theory, decision making theory, and computational intelligence. Specifically, at first the concept of fuzzy neighborhood degree is created to improve the computing cost. By using a small size data of traveling-salesman problem (TSP), appropriate values of fuzzy neighborhood degree and some parameters changing for optimization algorithms are evaluated. Then the validity of the optimization algorithm is confirmed for large-scale data in TSP, and what could be carried out in realistic calculation time is investigated even if the scale becomes big. Furthermore, the proposed method is tested by using real-world data from both oil industry and convenience stores. The results are also presented in international conferences and are published in journal article magazines.
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Report
(4 results)
Research Products
(36 results)
