Intelligent database support for manufacturing and processing of industrial materials

Author

Ehikioya, S.A. ; Truelove, E.G. ; Tran, T.T.

Author_Institution

Dept. of Math. & Comput. Sci., Brandon Univ., Man., Canada

Volume

1

fYear

1999

fDate

36342

Firstpage

139

Abstract

This paper describes the framework and characteristics of an intelligent database system that supports and satisfies business needs and requirements of industrial materials manufacturing and processing. We also examine the methods to design and build such systems and discuss the issues and technologies that require attention. We focus on intelligent database systems support for a reasoned choice among alternatives, and the manner in which their capabilities can be extended to create an effective decision support tool

Keywords

computer aided production planning; data mining; decision support systems; deductive databases; knowledge based systems; manufacturing data processing; relational databases; OLAP; data mining; decision support systems; intelligent database system; knowledge based system; manufacturing process; relational database; Data mining; Decision making; Decision support systems; Deductive databases; Humans; Knowledge management; Management information systems; Manufacturing industries; Manufacturing processes; Productivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-5489-3

Type

conf

DOI

10.1109/IPMM.1999.792463

Filename

792463