Research on Component Allocation Problem for Chip Mounter Based on MATLAB

Article Preview

Abstract:

With the widespread use of the Surface Mount Technology (SMT) in electronics assembly, the efficiency of SMT production line is the most important to increase the number of products quickly, enhance the market share and competitive strength. And the key point of efficiency improvement for SMT production line is the reasonable component distribution in chip mounter. In this paper, for a widely used SMT production line, its mathematical model of component distribution for two chip mounters was established. By identifying the model constrains and processing of the mathematical model, then the mathematical model was solved through Particle Swarm Optimization (PSO) based on natural selection with MATLAB. By contrast with the MATLAB function-bintprog solving, the results by PSO based on natural selection needs less iteration and short time, and the optimal component distribution program was efficiently obtained.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

663-667

Citation:

Online since:

June 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Dejian ZHOU, Zhaohua WU, Chunquan LI. The Assembly System for Surface Mount Technology [M]. Beijing: National Defence Industrial Press. (2007).

Google Scholar

[2] Meng CHEN, Lin C T. The Problem of Distributing Component between Multi-Placement Equipment Based on Genetic Algorithm. [J]. Microcomputer Information. 2008, 24(9-3): 236-238.

Google Scholar

[3] Chen Y M,Lin C T. A particle swarm optimization approach to optimize component placement in printed circuit board assembly[J]. The International Journal Advanced Manufacturing Technology. 2007, 35(5/6): 610-620.

DOI: 10.1007/s00170-006-0777-y

Google Scholar

[4] Qing XIE. Optimize and Simulation for Assembly Process in SMT[D], Guilin: Guilin Institute of Electronic Technology. (2003).

Google Scholar

[5] Zhen CHEN. Optimization on Scheduling Multi-type Printed Circuit Boards in a SMT Assembly Line [D], Dalian: Dalian Maritime University. (2009).

Google Scholar

[6] Wenfeng Luo, Jiaxiang Luo, Zijian Mo, et al. The Application of Taboo Search with Kick Strategy in Surface Mounting Arrangement[A]. 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application. (2008).

DOI: 10.1109/paciia.2008.19

Google Scholar

[7] Shujuan GUO. Optimization on Component Allocation between Placement Machines in a SMT Assmebly Line [D], Dalian: Dalian Maritime University. (2008).

Google Scholar

[8] High-speed Modular Mounter. Panasonic CM402 Mounter Manual. 2007, pp.1-12.

Google Scholar

[9] High-speed Modular Mounter. Panasonic CM602 Mounter Manual. 2005, pp.1-8.

Google Scholar

[10] Chun GONG, Zhenglin WANG. Proficient in MATLAB optimization calculation[M], Beijing: Electronic Industry Press, (2009).

Google Scholar

[11] Ying SUN, YueLin GAO. An Adaptive Particle Swarm Optimization Algorithm for Solving Multi-Objective 0-1 Programming Problem [J]. Computer Applications and Software. 2009, 26(12): 71-124.

Google Scholar