高效的物流管理模式是连锁超市快速发展的基础和保障，在日益复杂的市场经济环境下，连锁超市要想获得更好的生存和发展空间，对其物流活动的各个环节提出了更高的要求。本文从连锁超市物流的实际情况出发，在分析了目前我国连锁超市存在的采购成本高、配送率低、库存成本高以及标准化程度低和物流信息技术手段落后等问题后，建立连锁超市物流管理决策支持系统，为提高连锁超市物流决策的有效性，促进物流决策的科学化，提高物流系统的管理水平，降低物流成本提供决策辅助支持。 本文在对现代连锁超市、连锁超市物流管理理论和决策支持系统技术研究的基础上，针对连锁超市物流管理决策的特点对连锁超市物流管理DSS进行研究和设计，建立具有数据库、模型库和知识库三库结构的DSS，增强了系统的智能性。首先，根据连锁超市物流管理DSS的需求分析、系统目标和功能要求，设计了支持物流决策的配送中心选址子系统、库存控制子系统、运输管理子系统和路径优化子系统，分别用以解决连锁超市物流管理中占有重要地位的选址、库存、运输和路径选择功能；其次，在分析系统决策信息的基础上，画出系统整体的E-R图，并将各实体和关系转换成数据库管理系统需求的关系模式；详细说明模型在计算机内的存取方式，建立了实现四个子系统功能的模型库和模型字典以及各模型相应的算法；研究并部分实现了提供专家知识经验的知识库和具有推理功能的推理机以及有良好人机界面的人机交互系统；最后，通过选取BP神经网络模型和重心法模型计算配送中心选址，验证了系统的部分辅助决策功能。

Efficient logistics management mode is the foundation and guarantee of the rapid development of chain supermarket. Under the more and more complicated market economy environment, chain supermarket in order to obtain better living and developing space, should set a higher request for all aspects of logistics activities. This article started from actual logistics situation of chain supermarket. After analyzing the chain supermarket existing problems, such as high purchasing cost, low distribution rate, high inventory cost, low standardization degree, laggard information technology method, and so on, then the thesis gives some suggestions as follow: setting up chain supermarket logistics management decision support system, enhancing the efficiency of chain supermarket logistics, promoting the scientific of logistics decision, improving the logistics system management level and reducing the logistics cost, which are used to assist support for managers. Based on the study of modern chain supermarket, chain supermarket logistics management and decision support system, according to the characteristics of chain supermarket logistics management decision, this paper took chain supermarket logistics DSS to rearch and design and set up DSS including database, model base and knowledge base, which enhanced intelligence of the system. First, on the basis of chain supermarket logistics management DSS demand analysis, system aim and functional requirements, I designed distribution center location subsystem, inventory control subsystem, transportation management subsystem and path optimization subsystem, which to be used to solve chain supermarket logistics management functions playing an important role in location, inventory, transportation, and the path selection. Second, I drew holistic system E-R diagram, using system decision information, then converted all entities and relations into relation model according with database management system, detailed description of access mode that model in the computer,moreover, established the model bases of realizing four subsystem functions, model dictionary and every corresponding algorithms, researched and partly achieved knowledge base which providing expert knowledge and experience,inference engine that having reasoning function and human-computer interactive system possessing good man-machine interface. At the end, through two methods of BP neural network algorithm and gravity method for the distribution center location,I verified part assistant function of decision-making.