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An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing

[+] Author Affiliations
G. H. Ma, F. Zhang, Y. F. Zhang, A. Y. C. Nee

National University of Singapore, Singapore

Paper No. DETC2002/DFM-34159, pp. 57-63; 7 pages
doi:10.1115/DETC2002/DFM-34159
From:
  • ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 7th Design for Manufacturing Conference
  • Montreal, Quebec, Canada, September 29–October 2, 2002
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 0-7918-3623-1 | eISBN: 0-7918-3603-7
  • Copyright © 2002 by ASME

abstract

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.

Copyright © 2002 by ASME

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