Application of Data Mining in Manufacturing Quality Data

Author

Wang, Keqin ; Tong, Shurong ; Eynard, Benoiît ; Roucoules, Lionel ; Matta, Nada

Author_Institution

Sch. of Manage., Northwestern Polytech. Univ., Xi´´an

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

5382

Lastpage

5385

Abstract

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.

Keywords

data mining; manufacturing data processing; product life cycle management; quality management; data mining; knowledge discovery; knowledge extraction; manufacturing quality data; product design decision; product lifecycle; product quality; Data engineering; Data mining; Delta modulation; Knowledge management; Manufacturing processes; Mechanical systems; Product design; Quality management; Systems engineering and theory; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.1318

Filename

4341093