Abstract:

In order to achieve the lean production of garment sewing assembly, an intelligent assembly line system was established by discretely analyzing the existing garment production line. The particle swarm optimization of the particle iteration mechanism was improved by combining the capability of particle swarm algorithm to quickly search the optimal value in reference to the thought of chromosome crossing and variation in genetic algorithm. An appropriate particles was chosen to determine the particle iteration and build a mathematical model. Based on this, the corresponding software of clothing production assembly line was developed to realize the intelligent implement of garment sewing production line. Finally the system software was successfully used in specific garment production examples and the indicators of balance degree on the garment sewing line were solved out. The calculated results show that the equilibrium index is 16.5, and the compiling efficiency is 96.1%. The production efficiency is much higher than 85%, and the system can be used in actual production to meet the requirements of the lean production of garment enterprises.

Key words: garment production, particle swarm algorithm, mathematical model, production line arrangement, evaluation index of production line