A framework of an intelligent real-time decision support system for process control in electronics assembly

Author

Cheng, Shun-Ren ; Chen, J.J.-G. ; Trivedi, Abhay ; Liu, Paul

Author_Institution

Dept. of Ind. Eng., Houston Univ., TX, USA

fYear

1997

fDate

9-11 Mar 1997

Firstpage

544

Lastpage

548

Abstract

The major objective of this system is to provide decision support for process control in PCB assembly. The system will be expected to have the abilities to accommodate environmental and process variability and to learn from past successful experience. The major methodologies used in the system are statistical process control (SPC), artificial neural networks (ANNs) and expert systems (ESs)

Keywords

assembling; decision support systems; expert systems; inference mechanisms; intelligent control; learning (artificial intelligence); neurocontrollers; printed circuit manufacture; real-time systems; statistical process control; PCB assembly; artificial neural networks; electronics assembly; environmental variability; expert systems; inference engine module; intelligent real-time decision support system; process control; process variability; statistical process control; Assembly systems; Costs; Decision support systems; Electronic components; Industrial electronics; Manufacturing processes; Process control; Real time systems; Soldering; Surface-mount technology;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on

Conference_Location

Cookeville, TN

ISSN

0094-2898

Print_ISBN

0-8186-7873-9

Type

conf

DOI

10.1109/SSST.1997.581725

Filename

581725