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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107212

    Title: Customer order fulfillment based on a rolling horizon available-to-promise mechanism: solution by fuzzy approach and genetic algorithm
    Authors: Cheng, C.-B.;Wu, M.-T.
    Keywords: Reverse auction;Bidding;Advanced available-to-promise;Fuzzy mathematical programming;Genetic algorithm
    Date: 2014-09-24
    Issue Date: 2016-08-18 13:34:25 (UTC+8)
    Abstract: 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.
    Relation: Proceedings of the Intelligent Systems' 2014
    Appears in Collections:[Graduate Institute & Department of Information Management] Proceeding

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