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  • 标题:Optimization of the Replenishment Strategy for the Supplier Based on Genetic Algorithm
  • 本地全文:下载
  • 作者:Ke Zhu ; Hengshan Wang ; Yuanyuan Kong
  • 期刊名称:International Journal of Business and Management
  • 印刷版ISSN:1833-3850
  • 电子版ISSN:1833-8119
  • 出版年度:2011
  • 卷号:6
  • 期号:1
  • 页码:218-218
  • DOI:10.5539/ijbm.v6n1p218
  • 出版社:Canadian Center of Science and Education
  • 摘要:In the supply chain management, the supplier can reduce its total cost by providing price discounts to restrict the
    retailers’ replenishment intervals to multiples of a common replenishment interval. In order to accomplish this
    purpose, supplier often determined a price discount that all the retailers can accept. After the cost of the supplier
    was further considered, a better price discount was designed, which can meet all the retailers’ requirements to
    maximize their benefits. And a new supplier’s minimization problem model based on stackelberg game was
    designed also. Then a genetic algorithm is used to solve the supplier’s replenishment model. Experiment results
    of the genetic algorithm demonstrated the feasibility and the effectiveness of the strategy.
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