基于顾客需求异质性的多级自提点选址研究

发布时间：2018-03-17 11:51

本文选题：自提点　切入点：需求异质性　出处：《工业工程与管理》2017年04期 　论文类型：期刊论文

【摘要】：为实现自提服务的供需匹配,提高网点和网络的运行效率,研究了多级自提点选址问题。在物流服务需求多元化的背景下,考虑顾客需求的异质性,将目标顾客划分为高级顾客、中级顾客和初级顾客,相应建立包含自提服务中心、自提服务点和自提服务站3个层级的嵌套型自提网络结构。在此基础上,基于自提点层级、顾客需求类型,构建兼顾顾客效用和企业成本的多目标选址模型。针对优化问题,采用粒子群算法进行求解,并用案例验证了模型和算法的有效性。结果表明,自提点的总成本随着顾客效用增加而增加;当企业发展战略聚焦中高端顾客时,可优先布局自提服务中心和自提服务点;反之,优先布局自提服务站。
[Abstract]:In order to match the supply and demand of self-service and improve the running efficiency of network and network, this paper studies the problem of multi-level self-service location. Under the background of diversified demand for logistics service, the heterogeneity of customer demand is considered. The target customer is divided into senior customer, middle customer and primary customer, and the nested self-lifting network structure including self-service center, self-service point and self-service station is established accordingly. On this basis, based on the self-elevating point level, the target customer is divided into three levels: the self-service center, the self-service point and the self-service station. The multi-objective location model which takes account of customer utility and enterprise cost is constructed. Particle swarm optimization algorithm is used to solve the optimization problem. The validity of the model and algorithm is verified by a case study. The total cost of self-service points increases with the increase of customer utility; when the enterprise development strategy focuses on the high-end customers, it can give priority to the layout of self-service center and self-service point; conversely, the preferential layout of self-service stations.
【作者单位】：西南交通大学交通运输与物流学院;西南交通大学综合运输智能化国家地方工程实验室;中国—东盟协同创新中心;
【基金】：国家社科基金资助青年项目(16CGL018)
【分类号】：F259.2;F274;F724.6

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