Research Article
Research on balance optimization of medical rubber protective cap production line based on improved GA
@INPROCEEDINGS{10.4108/eai.24-2-2023.2330644, author={Anchuan Song and Shichang Lu}, title={Research on balance optimization of medical rubber protective cap production line based on improved GA}, proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China}, publisher={EAI}, proceedings_a={EMIS}, year={2023}, month={6}, keywords={line balance; flexsim simulation; station optimization; double population genetic algorithm; matlab}, doi={10.4108/eai.24-2-2023.2330644} }- Anchuan Song
Shichang Lu
Year: 2023
Research on balance optimization of medical rubber protective cap production line based on improved GA
EMIS
EAI
DOI: 10.4108/eai.24-2-2023.2330644
Abstract
In view of the low production line balance rate and the low production efficiency caused by the large load gap of each station in the production process of small and medium-sized medical device companies, this paper takes Company H as the research object, first uses traditional industrial engineering techniques to improve it, establishes the bottleneck process through the Flexsim model, and then builds a dual population genetic algorithm with the maximum production balance rate The algorithm is optimized with Matlab. The results show that when the number of workstations m=5, the balance rate of the production line is the largest and the production smoothness index is the smallest. The balance rate of the production line is increased from the initial 55.13% to 91.24%, reducing the number of workstations and reducing the cost. This method improves the production efficiency of H Company and increases the proportion of workshop workstation load. It is an effective improvement scheme.
