Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (30): 206-209.DOI: 10.3778/j.issn.1002-8331.2008.30.063

• 工程与应用 • Previous Articles     Next Articles

Research on integrated production-distribution planning in supply chain based on particle swarm optimization algorithm

MA Hui-min1,YE Chun-ming1,ZHANG Shuang1,XU Sheng-liang2   

  1. 1.Business School,University of Shanghai for Science & Technology,Shanghai 200093,China
    2.Business School,Shanghai Dianji University,Shanghai 200245,China
  • Received:2008-07-12 Revised:2008-08-28 Online:2008-10-21 Published:2008-10-21
  • Contact: MA Hui-min

基于粒子群算法的供应链生产、配送集成计划研究

马慧民1,叶春明1,张 爽1,许圣良2   

  1. 1.上海理工大学 管理学院,上海 200093
    2.上海电机学院 经济管理学院,上海 200245
  • 通讯作者: 马慧民

Abstract: The model of integrated production-distribution planning in manufacturing supply chain network comprised of single plant,multiple products,multiple cycles and multiple distribution centers is put forward.The method based on binary particle swarm optimization algorithm is proposed to solve this problem.The detailed realization of the method is illustrated.The example is computed.Simulation results of the example demonstrate the effectiveness of this algorithm.By comparison of the result,it can be found that integrated production-distribution planning can remarkably reduce supply chain cost.

Key words: integrated planning, particle swarm optimization algorithm, production-distribution planning

摘要: 针对单工厂、多产品、多周期、多配送中心的供应链网络,构建了生产、配送集成计划模型,提出了用于求解该问题的粒子群算法方案,阐明了该算法方案的具体实现过程。采用分离策略提出独立决策下的生产计划模型和配送计划模型。仿真实例的计算结果表明集成决策可以有效地降低供应链成本。

关键词: 集成计划, 粒子群算法, 生产, 配送计划