摘要
根据B2C(商家对客户)环境下订单配送问题的特点,建立了相应的多阶段订单配送问题的模型.利用电子订货系统提供的信息流预测订单的未来信息.在处理配送问题时考虑订单信息,可降低企业的配送成本并提高企业的配送效率.提出两种有效整合订单配送的方案,将禁忌搜索算法与插入算法相结合对模型进行求解.仿真实验与比较验证了模型的合理性及算法的有效性.
According to characteristics of the order-delivery problem under B2C（business to customer） environment, a corresponding multistage order-delivery model is developed. It can predict the information of future order by using the information flow provided by the electronic order system. By taking account of the order information in dealing with the delivery problem, it can reduce the delivery cost and improve the delivery efficiency for an enterprise. Two effective methods that can merge the order delivery are proposed. The tabu-search algorithm and the insertion algorithm are combined to solve the problem. Experiments are done and analyzed to prove the rationality of the model and effectiveness of the given algorithm.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2010年第10期1293-1299,共7页
Control Theory & Applications
基金
国家自然科学基金资助项目(70771020
70721001)
国家"863"计划/先进制造技术领域专题资助项目(2007AA04Z194)
教育部新世纪优秀人才支持计划资助项目(NCET-06-0286)
关键词
B2C电子商务
信息流
多阶段配送模型
禁忌搜索算法
插入算法
整合订单配送
B2C electronic commerce
information flow
model of multistage delivery
tabusearch algorithm
insertion algorithm
merging order and delivery
