基于C/S的零售企业销售预测DSS的开发

Exploitation of Retail Enterprise Sales Forecasting Decision Support System Based on C/S

基于数据仓库、联机分析和数据挖掘技术研究的基础上,采用模块化设计方法,开发了三层C/S模式的零售企业销售预测决策支持系统。系统能够实现数据仓库管理,多维数据集管理,OLAP多维综合分析和基于时间序列AR模型和BP网络算法的销售量、销售利润预测;建立的AR模型和BP网络预测模型,能实现模型的再学习和训练,具有较好的实用性和可扩展性。用FoodMart连锁企业的销售数据进行了验证,具有一定的实用价值。

Based on the research of data warehouse, data mining and online analytical processing, developed the three layer C/S - pattern retail enterprise sales forecasting decision support system using modularization method. The system can realized the function of management data warehouse and multi - dimensional data set, OLA Pmultidimensional analysis, sales quantities and sales profit forecasting based on the AR and B Pnetworks algorithm models. Building the AR and B Pforecasting models can realize the relearning and training. The system is practicable and expansible. Using FoodMart enterprise sales data to testify the system, the results indicated that the system is feasible.