Abstract
In this paper, we present an application of Genetic Algorithm (GA) in Computer Aided Process Planning (CAPP). Sequencing of machining operations is an important function in process planning elaboration. It conditions the choice of machines, the feasibility and the cost of the process plan. We suggest a GA that allows the handling of conditional precedence constraints, the representation of different process planning solutions and the discovery of alternative optimized solutions. The formulation of planning problem covers resources like machine-tools, set-ups and tools. We assumed that resource information is provided either automatically or interactively. Sequencing is performed using ordinal representation and Tool-Set-upMachine’s triplets using a domain specific integer coding schema. The influence of the different parameters such as the population size, the probabilities of mutation and crossover, local search methods on the evolution of the population are presented.
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© 2003 Springer Science+Business Media Dordrecht
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Dépincé, P., Lançon, N., Vancza, J. (2003). Sequencing for Process Planning by Genetic Algorithm. In: Gogu, G., Coutellier, D., Chedmail, P., Ray, P. (eds) Recent Advances in Integrated Design and Manufacturing in Mechanical Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0161-7_4
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DOI: https://doi.org/10.1007/978-94-017-0161-7_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6236-9
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