An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing
Keyword(s):
Job Shop
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The paper presents the development of a computer-aided process planning (CAPP) system based on Genetic Algorithm (GA) and Simulated Annealing (SA). The system employs an optimization modeling method that generates all the feasible operation-method alternatives. It also provides flexible optimization criteria that will satisfy the various needs from different job-shops and/or job-batches. Two search algorithms based on GA and SA respectively have been developed to solve the problem effectively. Also, the system provides manufacturability analysis function, which gives designers and job shop operators helpful information about the manufacturing.
2018 ◽
Vol 84
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pp. 18-00242-18-00242
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2006 ◽
Vol 6
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pp. 93
2001 ◽
Vol 17
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pp. 400-411
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2017 ◽
Vol 2017
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pp. 411
2003 ◽
Vol 7
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pp. 175-179
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2013 ◽
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pp. 919-924
2017 ◽
Vol 83
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pp. 16-00574-16-00574
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2019 ◽
Vol 13
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pp. 825-833
2000 ◽
Vol 4
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pp. 88-94
1993 ◽
Vol 1993
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pp. 409-419
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