针对近年来我物流行业急剧发展，物流经营的各个环节对数据管理要求越来越高，物流管理信息系统在其中 扮演的角色越来越重要。本文浅谈如何将数据仓库技术、数据挖掘技术结合起来用于物流管理业，为决策层提供技术支持。 首先对数据仓库和数据挖掘作了简单介绍；其次着重论述了在物流管理信息系统的构建过程中数据仓库、数据挖掘和OLAP 各自的作用，最后站在企业生存的角度上，建议应加大物流系统的建设。本文对物流业的从业人员具有一定的积极意义。

In view of the rapid development of logistics industry in recent years, the demands for data management in each link of logistics management are higher and higher. Logistics management information system is playing an increasingly important role in logistics industry. This paper discusses how to combine the data warehouse and data mining technology in logistics management to provide technical support for policy makers. First of all, data warehouse and data mining are introduced briefly; secondly, the functions of data warehouse, data mining and OLAP in the construction of logistics management information system are discussed emphatically; finally, in view of the enterprise, the construction of logistics system is suggested to be strengthen. It has certain positive meaning for personnel in logistics industry.