Presentation | 2013-03-07 Development of a Robust Choice Model for Demand Forecasting under Fluctuant Situations Marina FUJITA, Ken KAWAMOTO, Toshiko AIZONO, Koji ARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this research, the robust demand forecasting method in retailers under the situations which new products are introduced frequently is proposed. The proposed demand forecasting method was developed by a product choice forecasting method. By applying decision trees developed by random forest method into logit models, a product choice forecasting method which accepts multiple choice criteria of human was developed. POS (point of sale)data in a restaurant was analyzed for verification of the demand forecasting accuracy. At the result, absolute errors of demand forecasting by the proposed method were significantly less than those of previous method. It is confirmed that the proposed method works efficiency. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | demand forecasting / retailer / discrete choice model / logit model |
Paper # | LOIS2012-79 |
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Committee | LOIS |
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Conference Date | 2013/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Development of a Robust Choice Model for Demand Forecasting under Fluctuant Situations |
Sub Title (in English) | |
Keyword(1) | demand forecasting |
Keyword(2) | retailer |
Keyword(3) | discrete choice model |
Keyword(4) | logit model |
1st Author's Name | Marina FUJITA |
1st Author's Affiliation | Hitachi Ltd., Central Research Laboratory() |
2nd Author's Name | Ken KAWAMOTO |
2nd Author's Affiliation | Hitachi Ltd., Central Research Laboratory |
3rd Author's Name | Toshiko AIZONO |
3rd Author's Affiliation | Hitachi Ltd., Central Research Laboratory |
4th Author's Name | Koji ARA |
4th Author's Affiliation | Hitachi Ltd., Central Research Laboratory |
Date | 2013-03-07 |
Paper # | LOIS2012-79 |
Volume (vol) | vol.112 |
Number (no) | 466 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |