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
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