| 標題：Customer order fulfillment based on a rolling horizon available-to-promise mechanism: solution by fuzzy approach and genetic algorithm |
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| 學年 | 103 |
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| 學期 | 1 |
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| 發表日期 | 2014/09/24 |
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| 作品名稱 | Customer order fulfillment based on a rolling horizon available-to-promise mechanism: solution by fuzzy approach and genetic algorithm |
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| 作品名稱（其他語言） | |
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| 著者 | C.-B. Cheng; M.-T. Wu |
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| 作品所屬單位 | |
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| 出版者 | |
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| 會議名稱 | The Intelligent Systems' 2014 |
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| 會議地點 | Warsaw, Poland |
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| 摘要 | This study attempts to solve a dynamic order promising problem, where customer requests arrive in a random fashion, and the producer processes customer orders on a batch basis. This decision process repeated for every predefined batching interval, and the current decision-making must take into account the previously committed orders. The problem is formulated as a mixed integer programming model with fuzzy constraints, which express the decision-maker’s subjective judgment regarding customer’s price tolerance. The proposed model embeds the advanced available-to-promise (AATP) concept to support accurate computation of profit and customer order promising. A genetic algorithm is developed to solve the problem. Experiments by computer simulations are carried out to demonstrate the proposed approach. |
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| 關鍵字 | Reverse auction;Bidding;Advanced available-to-promise;Fuzzy mathematical programming;Genetic algorithm |
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| 語言 | 英文(美國) |
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| 收錄於 | |
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| 會議性質 | 國際 |
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| 校內研討會地點 | 無 |
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| 研討會時間 | 20140924~20140926 |
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| 通訊作者 | |
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| 國別 | 波蘭 |
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| 公開徵稿 | |
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| 出版型式 | |
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| 出處 | Proceedings of the Intelligent Systems' 2014 |
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| 相關連結 | |
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| SDGs | |
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