Intelligent manufacturing database techniques for quality and process design of steel plate

Author

Watanabe, Toshihiko ; Kitamura, Akira ; Higuchi, Koichi ; Ikeda, Hideji

Author_Institution

Fac. of Eng., Osaka Electro-Commun. Univ., Neyagawa, Japan

Volume

2

fYear

2003

fDate

16-19 Sept. 2003

Firstpage

596

Abstract

In order to support the quality and process design of steel plates, intelligent manufacturing database techniques based on information theory and fuzzy theory have been developed. From the collected manufacturing information and measured data from manufacturing, the system prunes the redundant data sets and stores the valuable data sets with their statistical information. A fuzzy query interface to the manufacturing database is also discussed. The time required for design was reduced through the application of the system to actual design work.

Keywords

fuzzy set theory; information theory; intelligent manufacturing systems; process design; quality control; query processing; statistical databases; steel manufacture; fuzzy query interface; fuzzy theory; information theory; intelligent manufacturing database techniques; manufacturing information; quality design; redundant data sets; statistical information; steel plate process design; Computer aided manufacturing; Data engineering; Data mining; Deductive databases; Design engineering; Information theory; Manufacturing processes; Process design; Steel; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference

Print_ISBN

0-7803-7937-3

Type

conf

DOI

10.1109/ETFA.2003.1248753

Filename

1248753