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随机需求下的CDL系统多目标优化
引用本文:胡路,彭博,蒋阳升,张改.随机需求下的CDL系统多目标优化[J].西南交通大学学报,2011,46(4):688-694.
作者姓名:胡路  彭博  蒋阳升  张改
作者单位:西南交通大学交通运输与物流学院,四川成都,610031
基金项目:国家自然科学基金资助项目(50678153); 综合运输四川省重点实验室开放基金资助项目(B01C0801)
摘    要:为了增强越库配送对市场随机需求的适应性,兼顾总体利益和零售商门店的个体利益,充分考虑随机需求、库存、配货和原始订单等因素,以提高最终订单满足随机需求的置信水平、增加配送车辆满载率和降低总运营成本为目标,建立了多目标随机规划模型,构建了正规化的多目标适应度函数,设计了具有自适应特点的遗传算法,并进行了实例研究.结果表明:与原始订单相比,最终订单满足随机需求的置信水平、配送车辆满载率分别增加了3.59%、12.71%,每天的总成本平均减少了631 845元,降低了13.73%.

关 键 词:CDL  随机需求  多目标随机规划  自适应遗传算法

Multi-objective Optimization of Cross-Docking Logistics System under Stochastic Demand
HU Lu,PENG Bo,JIANG Yangsheng,ZHANG Gai.Multi-objective Optimization of Cross-Docking Logistics System under Stochastic Demand[J].Journal of Southwest Jiaotong University,2011,46(4):688-694.
Authors:HU Lu  PENG Bo  JIANG Yangsheng  ZHANG Gai
Institution:HU Lu,PENG Bo,JIANG Yangsheng,ZHANG Gai(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China)
Abstract:In order to enhance the adaptivity of cross-docking logistics(CDL) to stochastic market demand,a multi-objective stochastic programming model was established.Taking both local and global interests into account and considering the factors such as random demand,inventory,distribution,and original orders,This model aims at improving the confidence level of final orders to meet the stochastic demand,increasing the vehicle loading rate,and reducing the total operation cost,and To solve the model,a multi-objectiv...
Keywords:CDL(cross-docking logistics)  stochastic demand  multi-objective stochastic programming  self-adaptive genetic algorithm  
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