Multiple setup PCB assembly planning using genetic algorithms
Document Type
Article
Publication Date
4-1-2002
Abstract
A Genetic Algorithm (GA) program is developed for simultaneously optimizing component placement sequence and feeder assignments in the assembly of Printed Circuit Boards (PCBs). The program extends the application of GA to this problem by providing handling of two practical but complicating factors: (1) feeder constraints forcing multiple setups, and (2) new generation assembly machines which can place from both sequenced tape and component feeders within the same setup. This paper details the algorithm developed, demonstrates the approach on several examples, and investigates the performance of the GA and the impact of its various parameters. © 2002 Elsevier Science Ltd. All rights reserved.
Publication Source (Journal or Book title)
Computers and Industrial Engineering
First Page
1
Last Page
16
Recommended Citation
Deo, S., Javadpour, R., & Knapp, G. (2002). Multiple setup PCB assembly planning using genetic algorithms. Computers and Industrial Engineering, 42 (1), 1-16. https://doi.org/10.1016/S0360-8352(01)00062-6