Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

A Fixture Assembly Process Planning Method Based on a Particle Swarm Algorithm

Authors
Yan Cao, Yujia Wu, Sen Cao
Corresponding Author
Yan Cao
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.129How to use a DOI?
Keywords
Particle swarm algorithm; Optimization model; Fixture; Assembly process planning.
Abstract

In digital product assembly planning, different assembly process will direct affect the choice of assembly tools and fixtures, assembly efficiency and assembly costs. The application of a particle swarm algorithm to assembly process planning problem is studied in order to achieve the shortest completion time. Taking the shortest completion time of all the machines as the optimization goal, an optimization model is constructed. The particle swarm algorithm is realized in Matlab. An example is used to test the algorithm. The results show its effectiveness to solve assembly process planning problems.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
10.2991/iiicec-15.2015.129
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.129How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Cao
AU  - Yujia Wu
AU  - Sen Cao
PY  - 2015/03
DA  - 2015/03
TI  - A Fixture Assembly Process Planning Method Based on a Particle Swarm Algorithm
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 563
EP  - 566
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.129
DO  - 10.2991/iiicec-15.2015.129
ID  - Cao2015/03
ER  -