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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/21075

    Title: Formulating ordering policies in a supply chain by genetic algorithm
    Authors: Chen, C. C. H.;鄭啟斌;Cheng, Chi-bin;Huang, S. W.
    Contributors: 淡江大學資訊管理學系
    Keywords: Supply chain management;ordering policy;agent;genetic algorithm;simulation
    Date: 2006-01
    Issue Date: 2009-11-30 13:13:00 (UTC+8)
    Publisher: ACTA Press
    Abstract: This paper proposes using mixed inventory policies to determine ordering quantities for all organizations in a supply chain. Agents of organizations choose inventory policies from a set of candidate policies, and determine their ordering quantities for each period according to the chosen policies. A genetic algorithm is formulated to search for the optimal combination of inventory policies to minimize the total costs of the whole supply chain over a time horizon. To illustrate and evaluate the performance of our approach, many different setups of experiments are conducted by computer simulation of an MIT Beer game.
    Relation: International Journal of Modelling and Simulation 26(2), pp.129-136
    DOI: 10.1080/02286203.2006.11442360
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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