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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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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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 / タブーサーチ / Life Span法 / 在庫補充 / 価格反応関数 / 需要予測 / 顧客満足 / ホテル / ビッドプライス |
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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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Report
(4 results)
Research Products
(9 results)
