Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

Tact Optimization Algorithm of LED Bulb Production Line Based on CE-PSO

Authors
Xiao-Mei Hu, Yue Yu, Ming-Hang Li, Yi-Ning Jiang
Corresponding Author
Xiao-Mei Hu
Available Online December 2016.
DOI
https://doi.org/10.2991/mme-16.2017.113How to use a DOI?
Keywords
Tact, Production line, CE-PSO.
Abstract
With the wide use of automatic production line in manufacturing enterprises, it is very important to calculate the optimal production tact to make production lines achieve maximum productivity. A CE-PSO algorithm is applied to optimize the tact of the LED bulb production line in this paper. The main parameters and the related concepts of line balancing are defined, and the multi-objective optimization problem of production line balancing is studied. The CE-PSO based tact optimization steps of LED bulb production line are described. The experimental results show that the tact optimization algorithm of LED bulb production line based on CE-PSO is effective and it provides a reference for enterprises to reduce tact and improve production efficiency.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)
Part of series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-303-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/mme-16.2017.113How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiao-Mei Hu
AU  - Yue Yu
AU  - Ming-Hang Li
AU  - Yi-Ning Jiang
PY  - 2016/12
DA  - 2016/12
TI  - Tact Optimization Algorithm of LED Bulb Production Line Based on CE-PSO
BT  - 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mme-16.2017.113
DO  - https://doi.org/10.2991/mme-16.2017.113
ID  - Hu2016/12
ER  -