工业工程 ›› 2019, Vol. 22 ›› Issue (5): 102-108.doi: 10.3969/j.issn.1007-7375.2019.05.013

• 专题论述 • 上一篇    下一篇

考虑铁路分割线的物流园区功能区布局规划研究

王玖河1,2, 韩希卓1, 时国强1   

  1. 1. 燕山大学 经济管理学院, 河北 秦皇岛 066004;
    2. 燕山大学 京津冀协同发展管理创新研究中心, 河北 秦皇岛 066004
  • 收稿日期:2019-01-11 出版日期:2019-10-31 发布日期:2019-10-29
  • 作者简介:王玖河(1968-),男,吉林省人,教授,博士,主要研究方向为物流与供应链管理
  • 基金资助:
    河北社会科学基金资助项目(HB18GL075)

A Study of the Functional Area Layout Planning of Logistics Park Considering Railway Dividing Line

WANG Jiuhe1,2, HAN Xizhuo1, SHI Guoqiang1   

  1. 1. School of Economics and Management, Yanshan University, Qinhuangdao 066004, China;
    2. Center of Beijing-Tianjin-Hebei Cooperative Development Management Innovation Research, Yanshan University, Qinhuangdao 066004, China
  • Received:2019-01-11 Online:2019-10-31 Published:2019-10-29

摘要: 将园区划分为包括出入口在内的11个功能区,采用改进的SLP法,对影响布局的各类因素定量化分析,并且通过分析各功能区之间的物流与非物流关系,确定其密切程度后建立铁路物流园区布局规划模型。该模型以功能区之间总搬运费用最低和综合关系最大为目标函数,设置最小间距约束、边界约束、出入口约束、铁路约束以及长宽约束的约束条件,设计粒子群算法和模拟退火算法相结合的SAPSO法对该模型进行求解,并通过算例验证该方法的合理性和有效性。

关键词: 铁路分割线, 物流园区布局规划, 系统布置设计(SLP)法, 粒子群算法, 模拟退火算法

Abstract: An improved SLP method is used to quantitatively analyze various factors affecting the layout of a logistics park divided into 11 functional areas. And by analyzing the relationship between logistics and non-logistics between functional areas, and determining the closeness, a railway logistics park layout planning model is established. The model takes the minimum total transportation cost between the functional areas and the maximum comprehensive relationship as the objective function, and sets the constraints of minimum spacing constraint, boundary constraint, entrance and exit constraint, railway constraint and length and width constraint. The design of particle swarm algorithm and simulated annealing algorithm are combined. The SAPSO method is used to solve the model, and the model is studied by examples to verify the rationality and effectiveness of the method.

Key words: railway dividing line, layout plan of logistics park, systematic layout planning (SLP), particle swarm optimization, simulated annealing algorithm

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