摘要
跨供应商订单分配可以充分发挥云平台优势,有效整合利用各供应商的剩余资源.鉴于此,提出一种云平台主导的集成调度模式,基于该模式和供应商的产能约束、运输约束、订单约束构建面向云平台中心化集成调度的跨供应商订单分配模型,给出基于改进遗传算法的模型求解方法,并通过算例演示所构建模型和算法的有效性.Matlab实验结果表明,订单能够在各供应商间得以科学分配,实现各供应商闲置资源有效利用和成本最优.
Cross-supplier order allocation can give full play to the advantages of the cloud platform,and effectively integrate and utilize the remaining resources of each supplier.This paper presents an integrated scheduling model dominated by cloud platform.Based on this pattern and the supplier’s capacity constraints,transportation constraints,and order constraints,a cross-vendor order allocation model for cloud platform centralized integration scheduling is constructed.The method for model solving based on the improved genetic algorithm is given.Finally,an example is given to illustrate the effectiveness of the proposed model and algorithm.The Matlab experiment results show that the orders can be distributed scientifically among various suppliers,and that the idle resources of each supplier can be effectively used and the cost can be optimized.
作者
谢乃明
吴乔
郑绍祥
XIE Nai-ming;WU Qiao;ZHENG Shao-xiang(College of Economic and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处
《控制与决策》
EI
CSCD
北大核心
2020年第3期667-676,共10页
Control and Decision
基金
国家自然科学基金项目(71671090,71871117,71801127,51705250)
国家自然科学基金委与英国皇家学会合作交流项目(71811530338)
中央高校基本科研业务费专项资金项目(NP2018466)
江苏省青蓝工程中青年学术带头人计划.
关键词
云平台
中心化集成调度
订单分配
遗传算法
cloud platform
centralized integration scheduling
order allocation
genetic algorithm
