DocumentCode :
3425789
Title :
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
Link To Document :
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