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。
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.
作者
王玖河
韩希卓
时国强
WANG Jiuhe;HAN Xizhuo;SHI Guoqiang(School of Economics and Management,Yanshan University, Qinhuangdao 066004, China;Center of Beijing-Tianjin-Hebei Cooperative Development Management Innovation Research,Yanshan University, Qinhuangdao 066004, China)
出处
《工业工程》
北大核心
2019年第5期102-108,共7页
Industrial Engineering Journal
基金
河北社会科学基金资助项目(HB18GL075)
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
railway dividing line
layout plan of logistics park
systematic layout planning (SLP)
particle swarm optimization
simulated annealing algorithm
