To address low-carbon production demands and flexible manufacturing in apparel enterprises,a balance optimization problem is proposed for low-carbon flexible apparel assembly lines with adjustable machine speeds.Under ad-justable speeds,the energy consumption parameters of key production equipment in different states are analyzed.The opti-mization considers constraints such as the apparel production process flow,limited workstations,and rational production takt.A multi-objective non-dominated sorting genetic algorithm(NSGA-Ⅱ)is designed to minimize both the total energy consumption and the smoothness coefficient of the assembly line.The algorithm aims to achieve automatic process schedul-ing and balance optimization while ensuring low energy consumption.A case study of a men's short-sleeved shirt validates the approach.The results indicate that compared to assembly line balancing with fixed machine speeds,the energy con-sumption of the adjustable-speed assembly line is reduced by 9.91%to 17.48%,enhancing scheduling efficiency and bal-ance stability.This research demonstrates the feasibility and effectiveness of the proposed model and algorithm,providing valuable guidance for energy conservation,emission reduction,and flexible production in apparel manufacturing.
关键词
机器速度/服装流水线平衡/低碳/柔性/NSGA-Ⅱ算法
Key words
machine speed/apparel assembly line balance/low-carbon/flexibility/NSGA-Ⅱ algorithm
维普
万方数据