Application of Data Mining in Manufacturing Quality Data

摘要：

Knowledge on product quality is one of the most important knowledge sources throughout the product lifecycle for the efficiency and effectiveness of product design decisions. To provide quality related knowledge, this paper proposed one data mining based knowledge discovery approach. This approach can extract knowledge on product quality from large volume of quality related manufacturing data. The effectiveness of this approach is illustrated and validated by an example adapted from literature. Finally, some conclusions and future works are discussed.

关键词： data mining manufacturing quality data

作者: Keqin Wang Shurong Tong Benoit Eynard Lionel Roucoules Nada Matta

作者单位: School of Management Northwestern Polytechnical University Xian, China Department of Mechanical Systems Engineering University of Technology of Troyes Troyes, France

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）