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计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

第四方物流多到多弹复性网络设计

李锐,孙福明,佟玉军   

  1. (辽宁工业大学 电子与信息工程学院,辽宁 锦州 121001)
  • 收稿日期:2016-01-29 出版日期:2017-04-15 发布日期:2017-04-14
  • 作者简介:李锐(1985—),男,讲师、博士,主研方向为智能算法、物流优化;孙福明,教授、博士;佟玉军,副教授、硕士。
  • 基金资助:
    国家自然科学基金(61572244);辽宁省教育厅科学研究一般项目(L2015232)。

Many-to-Many Resilient Network Design for Fourth Party Logistics

LI Rui,SUN Fuming,TONG Yujun   

  1. (College of Electronic and Information Engineering,Liaoning University of Technology,Jinzhou,Liaoning 121001,China)
  • Received:2016-01-29 Online:2017-04-15 Published:2017-04-14

摘要: 为了使第四方物流(4PL)能够提供安全、有效的物流服务,提出多个供需点对之间物流配送任务下的4PL弹复性网络设计模型。建立以总物流成本最小化为目标的优化模型,考虑物流服务节点和运输线路的中断,通过构建备用路径实现弹复性,以主路径和备用路径共用的服务节点和运输线路的数量作为弹复性指标,设计人工蜂群算法对模型进行求解,并对问题模型中的重要参数进行分析。仿真结果表明,人工蜂群算法能够对问题进行有效求解。

关键词: 物流网络, 多到多网络设计, 网络系统, 决策变量, 人工蜂群算法

Abstract: In order to make fourth party logistics(4PL) offer secure and efficient logistics service,the model of 4PL resilient network design for the logistics distribution task of many supply-demand pairs is presented.An optimization model which minimizes the total logistics costs is established.It considers disruption of service nodes and transportation routes,makes the network resilient by constructing backup paths,and takes the number of shared service nodes and transportation routes of main and backup paths as the resilience index.An artificial bee colony algorithm is designed to solve the model.Also,the important parameters of the model of the problem are analyzed.Simulation results show that the presented artificial bee colony algorithm can solve the problem effectively.

Key words: logistics network, many-to-many network design, network system, decision variable, Artificial Bee Colony(ABC) algorithm

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