DocumentCode :
1692523
Title :
Knowledge-based process planning in surface mount technology
Author :
Cala, Martin ; Srihari, K.
Author_Institution :
Dept. of Ind. Eng., Youngstown State Univ., OH, USA
fYear :
1991
Firstpage :
235
Lastpage :
239
Abstract :
Process planning in printed circuit board (PCB) assembly using surface mount technology is scheduling-intensive. Artificial intelligence based techniques used in computerized planning and scheduling systems in other industries can be extended to PCB operations. These techniques include blackboard architectures, object-oriented programming systems, and nonmonotonic reasoning systems. These techniques have been blended in a unique architecture of blackboard systems that communicate via object-oriented messages to arrive at the set of decisions that constitutes a shop-floor process plan and schedule. The methodology was specialized to the assembly of PCBs using surface mounted components in a high-variety/low-volume product mix. The assembly facility was represented as a hierarchical object of product, process, and organizational knowledge. The integrated process planning and scheduling system that has been developed overcomes the limitations of previous computer-aided process planning systems for electronic assembly
Keywords :
assembling; knowledge based systems; manufacturing data processing; object-oriented programming; printed circuit manufacture; surface mount technology; blackboard architectures; knowledge-based process planning; nonmonotonic reasoning systems; object-oriented messages; object-oriented programming; organizational knowledge; printed circuit board; scheduling-intensive; shop-floor process plan; surface mount technology; Artificial intelligence; Assembly; Computer architecture; Computer industry; Job shop scheduling; Object oriented programming; Printed circuits; Process planning; Processor scheduling; Surface-mount technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Manufacturing Technology Symposium, 1991., Eleventh IEEE/CHMT International
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0155-2
Type :
conf
DOI :
10.1109/IEMT.1991.279785
Filename :
279785
Link To Document :
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