淡江大學機構典藏:Item 987654321/21075
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    题名: Formulating ordering policies in a supply chain by genetic algorithm
    作者: Chen, C. C. H.;鄭啟斌;Cheng, Chi-bin;Huang, S. W.
    贡献者: 淡江大學資訊管理學系
    关键词: Supply chain management;ordering policy;agent;genetic algorithm;simulation
    日期: 2006-01
    上传时间: 2009-11-30 13:13:00 (UTC+8)
    出版者: ACTA Press
    摘要: 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.
    關聯: International Journal of Modelling and Simulation 26(2), pp.129-136
    DOI: 10.1080/02286203.2006.11442360
    显示于类别:[資訊管理學系暨研究所] 期刊論文

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