2010 Fiscal Year Final Research Report
Ship scheduling with inventory and uncertainty management
Project/Area Number |
20510132
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Social systems engineering/Safety system
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Research Institution | Tokyo University of Marine Science and Technology |
Principal Investigator |
KUBO Mikio Tokyo University of Marine Science and Technology, 海洋工学部, 教授 (60225191)
|
Co-Investigator(Kenkyū-buntansha) |
KOBAYASHI Kazuhiro 海上技術安全研究所, 運航物流系, 研究員 (00450677)
|
Project Period (FY) |
2008 – 2010
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Keywords | ロジスティクス / アルゴリズム / 海上物流 / 在庫管理 / 不確実性 |
Research Abstract |
The ship scheduling with inventory and uncertainty management is studied. To deal with the uncertainty of the travelling time, the robust combinatorial optimization approach by Bertsimas and Sim is applied to the shortest path problem arrising in the set partitioning formulation of the ship scheduling problem. To deal with the uncertainty of the production schedule, the approximate dynamic programming and learning approach are applied. Another approach to deal with the uncertainty of the long-term scheduling, the rolling-horizon approach is applied.
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