Research on Production Line Balance Problem Based on Genetic Algorithm
- DOI
- 10.2991/iccessh-19.2019.365How to use a DOI?
- Keywords
- matlab; two-population genetic algorithm; production line balance model; sewing production line
- Abstract
As the basis of manufacturing enterprises, the production line balance problem is still one of the main problems faced by small and medium-sized manufacturing enterprises. In this paper, the production line balance model of two-population genetic algorithm is established by Matlab, and the effect of the model is verified by the Jackson production line problem, which shows the validity of the model. Take the sewing production line of a toy factory as an example, analyze the current situation of the production line, and calculate that the production line balance rate of the production line is only 37.27%, and the production line of the “one line flow” with a production line balance rate of 85% or more is not reached. The production line was balanced and optimized by the established production line balance model. By comparing the results, the production line balance scheme with the number of stations was determined. The production line balance rate of the program was 94%, reaching the “first line flow”. The production status solves the balance problem of the sewing production line. At the same time, it also shows that the production line balance model established in this paper can effectively solve the problem of production line balance, help small and medium-sized manufacturing enterprises to reduce production costs, improve production efficiency, and improve the economic efficiency and market competitiveness of enterprises.
- Copyright
- © 2019, 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 - Qingyu Qi PY - 2019/07 DA - 2019/07 TI - Research on Production Line Balance Problem Based on Genetic Algorithm BT - Proceedings of the 4th International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2019) PB - Atlantis Press SP - 1695 EP - 1705 SN - 2352-5398 UR - https://doi.org/10.2991/iccessh-19.2019.365 DO - 10.2991/iccessh-19.2019.365 ID - Qi2019/07 ER -