DocumentCode :
956656
Title :
Integrating expert systems with a relational database in semiconductor manufacturing
Author :
Perez, Rafael A. ; Koh, Song W.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume :
6
Issue :
3
fYear :
1993
fDate :
8/1/1993 12:00:00 AM
Firstpage :
199
Lastpage :
206
Abstract :
The design and implementation of two expert systems for semiconductor manufacturing are described and compared. The first expert system is used for parametric test analysis in a CMOS wafer facility. It is designed as a user-interactive system, with all the expert´s knowledge included in one knowledge base. This expert system tightly controls the flow of information between the knowledge base and the wafer data stored in a relational database. This expert system was implemented using the knowledge engineering environment shell with interface programs to INGRES. The second expert system is used for parametric test analysis in an analog wafer facility. This system is partitioned into several independent C programs running online and continuously communicating their results through the relational database. The interactive system is more flexible in representing expert knowledge and in explaining results, while the online system is faster, more open to new module integration, and better able to classify and diagnose large volumes of wafer data
Keywords :
CMOS integrated circuits; expert systems; integrated circuit manufacture; linear integrated circuits; manufacturing data processing; relational databases; C programs; CMOS wafer facility; INGRES; analog wafer facility; expert systems; knowledge base; parametric test analysis; relational database; semiconductor manufacturing; user-interactive system; Circuit testing; Computer aided manufacturing; Electric variables measurement; Expert systems; Integrated circuit measurements; Manufacturing processes; Relational databases; Semiconductor device manufacture; System testing; Transaction databases;
fLanguage :
English
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on
Publisher :
ieee
ISSN :
0894-6507
Type :
jour
DOI :
10.1109/66.238167
Filename :
238167
Link To Document :
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