用数据挖掘优化汽车ERP系统功能的策略与实践

针对目前一些汽车制造企业的ERP系统把需求预测作为外部输入、缺少发现海量数据中隐藏知识的功能等缺陷,提出在系统中植入包含关联规则、决策树算法的数据挖掘模型库,直接从现行ERP系统的内部数据仓库提取数据进行数据挖掘的应用策略;结合某汽车制造企业ERP系统的具体情况,编制程序实现了上述数据挖掘算法与ERP系统的整合。实验结果表明,这些策略是可行而有效的。

Tactics and Practice of Function Optimization Carried out with Data Mining in Auto ERP System

With regarding to the weak point of taking the demand forecast as a outside importation and lacking the method of acquiring hidden information in ERP system in some manufacture enterprise,an alternative is put forward,that is,adopting data mining models in the ERP system,which included the algorithms of Assocyation Rule and Decision Tree,and directly abstracting information from the inner data warehouse of ERP system.Then considering the concrete case of a manufacture enterprise,these algorithms of data mining are integrated with ERP system by computer programming.Experiment shows the validity and efficiency of these tacrics.