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.
- Design Engineering Division and Computers and Information in Engineering Division
An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing
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Ma, GH, Zhang, F, Zhang, YF, & Nee, AYC. "An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing." Proceedings of the 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. pp. 57-63. ASME. https://doi.org/10.1115/DETC2002/DFM-34159
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