DocumentCode :
1403564
Title :
Process planning: a knowledge-based and optimization perspective
Author :
Kusiak, Andrew
Author_Institution :
Dept. of Ind. Eng., Iowa Univ., Iowa City, IA, USA
Volume :
7
Issue :
3
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
257
Lastpage :
266
Abstract :
Process planning for a part involves preparation of a plan that outlines the processing route, operations, machine tools, and so on. The decomposition of the process-planning task into eight phases is discussed. For each phase, problems and suitable solution approaches are discussed. Most process-planning problems are solved using a knowledge-based approach or a combination of optimization and knowledge-based approaches. The knowledge-based approach solves the qualitative subproblems, and the optimization perspective tackles the quantitative aspect of the subproblems. The concepts presented are illustrated with examples
Keywords :
knowledge based systems; manufacturing data processing; optimisation; planning (artificial intelligence); process control; production control; knowledge based systems; optimization; process-planning; processing route; Artificial intelligence; Data mining; Databases; Fixtures; Intelligent systems; Machine intelligence; Machine tools; Manufacturing automation; Process planning; Production;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.88135
Filename :
88135
Link To Document :
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