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移动供应链实时调度模型及协同进化遗传算法
引用本文:杨洋,王龙.移动供应链实时调度模型及协同进化遗传算法[J].南京理工大学学报(自然科学版),2011(4).
作者姓名:杨洋  王龙
作者单位:哈尔滨工业大学管理学院;山西大学管理学院;
基金项目:国家自然科学基金(71002060); 中国博士后科学基金(20090450968)
摘    要:运用精确控制库存检查和车辆调度,实现了动态的供应链配送系统。整合供应链库存控制策略与车辆调度规划,建立移动供应链实时调度模型。该模型针对随机需求下的零售商最优订货,实现在途库存动态配送。在决策模型的基础上,设计协同进化遗传算法,解决模型组合优化过程中的约束满足问题。计算机仿真结果表明,实时调度模型可以有效降低整体供应链运行费用。

关 键 词:实时调度模型  移动定位  约束满足  协同进化遗传算法  

Dynamic Scheduling Model and Co-evolutionary Genetic Algorithm of Mobile Supply Chain
YANG Yang,WANG Long.Dynamic Scheduling Model and Co-evolutionary Genetic Algorithm of Mobile Supply Chain[J].Journal of Nanjing University of Science and Technology(Nature Science),2011(4).
Authors:YANG Yang  WANG Long
Institution:YANG Yang1,WANG Long2(1.School of Management,Harbin Institute of Technology,Harbin 150001,China,2.School of Management,Shanxi University,Taiyuan 030006,China)
Abstract:The dynamic supply chain distribution system is researched by accurate control of inventory checking and vehicle scheduling.The supply chain dynamic scheduling model is formulated based on the integration of the supply chain inventory policy and vehicle routing plan in order to fulfill the optimization of the order quantity and the on-the-way inventory of the random demand of retailers.Based on the scheduling model,a co-evolutionary genetic algorithm is proposed to resolve the constraint satisfaction proble...
Keywords:dynamic scheduling models  mobile location  constraint satisfaction  co-evolutionary genetic algorithm  
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