摘要
建立了一种基于层次分析法与数据挖掘的砂铸工艺自评价模型,能够根据各工艺版本的生产与质量等实际数据实时对该版本工艺进行自动评分,为工艺版本升级提供科学依据。首先通过层次分析法建立工艺单的评价指标,确定子评价指标的权重;其次,利用数据挖掘方法在企业ERP系统中获取所有指标的数据,并结合模糊综合评价方法对不同版本的铸造工艺单进行自动评分;最后,将该模型应用于某砂型铸造企业,应用效果表明其可以科学地指导铸造企业的工艺改进或换版,并且有效改善和提高铸件质量和企业综合效益。可为基于实际数据的工艺自动评价提供参考。
A self-evaluation model of sand casting process based on analytic hierarchy process and data mining is established, which can automatically score the process version according to the actual data such as production and quality of each process version, and provide scientific basis for the process version upgrades. Firstly, the evaluation index of the process is established by AHP to determine weight of the sub-evaluation index. Secondly, the data mining method is used to obtain the data of all the indexes in the enterprise ERP system, and the fuzzy comprehensive evaluation method is used to automatically score the different versions of the casting process. Finally, the model is applied to a sand casting business, application effect shows that it can guide the foundry business process improvement or change version, and effectively improve product quality and comprehensive benefit of the business. The study can provide a reference for automatic evaluation of process based on actual data.
出处
《铸造》
CAS
CSCD
北大核心
2017年第12期1299-1303,共5页
Foundry
基金
国家数控重大专项(2012ZX04012-011)
材料成形与模具技术国家重点实验室首席教授资助项目
关键词
砂型铸造
工艺自评价
层次分析法
数据挖掘
sand casting
process self-evaluation
analytic hierarchy process
data mining
