基于多源信息的供应链协同需求预测支持系统框架模型研究

A framework model for collaborative demand forecasting support system based on multi-resource information in supply chain

准确的需求预测可以协助供应链企业大大降低库存和优化资源配置,从而获得竞争力的有效提升。供应链企业内部、竞争环境及企业间多源信息的引入可以有效提升不确定性环境下的供应链需求预测效果。在供应链需求预测多源信息特征与组成分析的基础上,探讨了多源信息的获取、筛选、清洗、标准化等方法以及多源信息融合策略和处理流程,提出了基于多源信息进行协同需求预测模型,并设计了基于Internet和多个Agent的协同需求预测支持系统框架模型。

Accurate forecasting of demand in supply chain can help the enterprise to reduce the inventory and optimize the resources so as to gain competitiveness efficiently. Multi-resource information that comes from inner enterprises, competitive environment and competitor enterprises can obviously im- prove the effect of demand forecasting in supply chain. This article discusses the contents, difficulties and strategies of multi information gaining, processing, cleaning and standardizing. Semantic web and XML are applied in the information standardization, organization and storage. In the fourth section of the article a collaborative forecasting support system model based on multi information, multi-agents and Internet is proposed.