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基于多因素的铸件产品质量研究
引用本文:戴心雨,谭昌发,奚立峰.基于多因素的铸件产品质量研究[J].工业工程与管理,2006,11(3):32-36.
作者姓名:戴心雨  谭昌发  奚立峰
作者单位:上海交通大学,机械与动力工程学院,上海,200030;上海圣德曼铸造有限公司,上海,201805
摘    要:作为中国制造重要支柱的铸造业目前面临合格率低、成本高的严峻形势,原因在于过分依赖经验、忽视数据的分析利用.通过影响铸件质量的多因素数据积累,利用主元分析排除次要因素,并借助多元回归将关键因素和质量特性指标相关联,建立起一个预测铸件产品质量的数学模型.通过生产验证其有效性,有助于优化生产条件,提高铸件质量.

关 键 词:质量管理  主元分析  回归分析
文章编号:1007-5429(2006)03-0032-05
收稿时间:2005-03-05
修稿时间:2005-08-10

Research on Quality of Foundry Products by Means of Multiple-factors Analysis
DAI Xin-yu,TAN Chang-fa,XI Li-feng.Research on Quality of Foundry Products by Means of Multiple-factors Analysis[J].Industrial Engineering and Management,2006,11(3):32-36.
Authors:DAI Xin-yu  TAN Chang-fa  XI Li-feng
Affiliation:1. School of Mechanical Engineering,Shanghai Jiaotong University, Shanghai 200030; 2. Shanghai Sandmann Foundry Co, Ltd,Shanghai 201805
Abstract:Being the important part of "Made in China",the casting enterprises are facing the serious problem such as low eligibility and high cost because of relying too much on experiences and neglecting the meaning of data.This paper is to construct a casting-product quality model by the data with help of PCA and regression.The effectiveness has been proved by actual data and lent itself to improving product quality.
Keywords:quality management  PCA  regression analysis
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