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    题名: Customer order fulfillment based on a rolling horizon available-to-promise mechanism: solution by fuzzy approach and genetic algorithm
    作者: Cheng, C.-B.;Wu, M.-T.
    关键词: Reverse auction;Bidding;Advanced available-to-promise;Fuzzy mathematical programming;Genetic algorithm
    日期: 2014-09-24
    上传时间: 2016-08-18 13:34:25 (UTC+8)
    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.
    關聯: Proceedings of the Intelligent Systems' 2014
    显示于类别:[資訊管理學系暨研究所] 會議論文


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