Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/51559
Title: An automated process planning system based on genetic algorithm and simulated annealing
Authors: Ma, G.H.
Zhang, F.
Zhang, Y.F. 
Nee, A.Y.C. 
Keywords: Computer aided process planning (CAPP)
Genetic Algorithms (GA)
Manufacturability Analysis
Optimization
Simulated Annealing (SA)
Issue Date: 2002
Citation: Ma, G.H.,Zhang, F.,Zhang, Y.F.,Nee, A.Y.C. (2002). An automated process planning system based on genetic algorithm and simulated annealing. Proceedings of the ASME Design Engineering Technical Conference 3 : 57-63. ScholarBank@NUS Repository.
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.
Source Title: Proceedings of the ASME Design Engineering Technical Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/51559
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