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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/58506

    Title: Available-to-promise based bidding decision by fuzzy mathematical programming and genetic algorithm
    Authors: 鄭啟斌;Cheng, C.-J.
    Contributors: 淡江大學資訊管理學系
    Keywords: Reverse auction;Bidding;Advanced available-to-promise;Fuzzy mathematical programming;Genetic algorithm
    Date: 2011-06-01
    Issue Date: 2011-10-01 12:05:40 (UTC+8)
    Abstract: The present study attempts to integrate bidding decisions with order promising and production planning to enhance supplier profitability and service level. This study formulates the bid price and production plan as a mixed integer programming model with fuzzy constraints. The fuzzy constraints represent the decision-maker’s subjective judgment regarding the customer’s price tolerance. The proposed model combines the advanced available-to-promise (AATP) concept to find optimum resource allocation and enable accurate estimations of production costs and delivery dates. The proposed solution procedure determines the optimum bid price by striking a compromise between profitability and the possibility to win the contract. This study develops a genetic algorithm to solve this problem, and provides computer simulated experiments to evaluate the performance of the proposed approach.
    Relation: Computers & Industrial Engineering(accepted)
    DOI: 10.1016/j.cie.2011.06.012
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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