Balanced optimization of garment hybrid assembly line based on modularization

Targeting at multi-variety, small-batch and short cycle features in garment production, a garment intelligent production scheduling algorithm based on modularization is proposed to facilitate rapid production of multiple garments on a hybrid assembly line. On the basis of garment modules, the joint optimization model was established including ordering production tasks and assigning modular garment production process. The target tracking genetic algorithm was designed to set up the model, to achieve the optimization of the production sequence and the automatic arrangement of the garment manufacturing process on the assembly line. Taking two similar shirts for examples, the smoothness index and line efficiency of the designed modular garment hybrid assembly line reach 3.359 and 97.9% respectively. Compared with single-piece flow production of small batch, the modular production has significantly improved the balance of the assembly line, providing theoretical guidance for the promotion of garment intelligent manufacturing and lean production. © 2022, Periodical Agency of Journal of Textile Research. All right reserved.