English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49064/83178 (59%)
Visitors : 6966501      Online Users : 38
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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
    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: 
    Appears in Collections:[資訊管理學系暨研究所] 期刊論文

    Files in This Item:

    File SizeFormat
    0KbUnknown217View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback