面向智能决策支持系统的ERP模型流程与算法

Process and Algorithm of ERP Model Based on Intelligence Decision Supporting System

鉴于企业对ERP中数据资源利用的重要性和迫切性,引入数据仓库、联机分析处理和数据挖掘技术,构建了比传统模型结构更清晰的面向智能决策支持系统的ERP模型,以加强ERP在数据分析方面的能力。在模型的智能决策支持系统(IDSS)的流程设计中引入范例库和模型库双轨机制,并通过具体算法实现。与范例库的匹配是该算法的关键步骤,建议先通过主观和客观相结合的方法确定权重向量,完成特征提取,然后使用数据挖掘中的基于相似度计算的分类方法完成与范例库的匹配与建模参考,最后确定阈值并通过评价指标检验效果。

ERP is an important way by which enterprises carry out standardized and efficient management. In this paper, an ERP model with better structure and more powerful data analysis was established on Intelligence Decision Supporting System （IDSS） by data warehouse, on-line analysis processing and data mining, a double tracking system of sample library and model library used in the process design of intelligent decision supporting system and achieved by specific algorithm. Sample library match is the key steps in this process. It is therefore recommended to determine and extract the weight vector with a combination of subjective and objective approaches, match sample library and establish modeling reference by similarity-based classification, and select threshold and test results through the evaluation formula.