2010 Fiscal Year Final Research Report
Statistical analysis for the revenue management
| Project/Area Number |
20530182
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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 |
Economic statistics
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| Research Institution | Gakushuin University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
ITO Hajime 小樽商科大学, 商学部, 教授 (10241415)
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| Project Period (FY) |
2008 – 2010
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| Keywords | EMアルゴリズム / レベニューマネジメント / ポアソン過程 / ポアソン回帰モデル / 最尤法 / 自動販売機 / コラム割当 |
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| Research Abstract |
Revenue management industries have some common characteristics. Firstly, there exists finite capacity for the use of the resource. Secondly, there are several fare(price) classes. Thirdly, it is possible for customers to purchase the right to use the resource. In order to apply revenue management effectively, it is important to predict the demand for each resource with high accuracy. Statistical models for booking data in the revenue management industries are developed. A method for obtaining the optimal column assignment for the vending machine is developed.
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