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Generation of Optimal Assembly Sequences Using Particle Swarm Optimization

[+] Author Affiliations
Jihong Liu, Yong Wang, Zhicai Gu

Beihang University, Beijing, China

Paper No. DETC2008-49443, pp. 11-18; 8 pages
doi:10.1115/DETC2008-49443
From:
  • ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 13th Design for Manufacturability and the Lifecycle Conference; 5th Symposium on International Design and Design Education; 10th International Conference on Advanced Vehicle and Tire Technologies
  • Brooklyn, New York, USA, August 3–6, 2008
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4329-1 | eISBN: 0-7918-3831-5
  • Copyright © 2008 by ASME

abstract

Assembly sequence planning of complex products is apt to get into a hobble of combinatorial explosion because of large numbers of parts. Contrasted with the conventional methods, intelligent algorithms reveal their advantages in throwing off the vexatious situations. This paper presents a particle swarm optimization (PSO) approach to tackle the generation of optimal assembly sequences of complex products. Six kinds of assembly process constraints related to the assembly cost are analyzed at first. Then, an optimization model of assembly sequences is constructed. The mapping rules between the optimization model and the PSO model are clarified. The common operators in PSO algorithm are transformed into the velocity operators (VOs), which are used to adjust the orders of parts to generate the optimal assembly sequences. The proposed method is validated with an illustrative example and the solutions are compared with those obtained using simulated annealing (SA) algorithm under the same conditions.

Copyright © 2008 by ASME

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