基于系统布置设计-遗传算法的纱线浸染生产线布局优化

针对纱线染整企业生产线升级换代过程中,现有的浸染生产线生产不平衡,物流搬运强度高和布局不合理问题,分析了浸染生产线的工艺流程和物流状态,以车间的物流强度和车间面积为约束条件建立目标函数,并改进系统布置设计(SLP)分析流程和遗传算法(GA)的初始种群,运用GA和SLP相结合的方法对纱线浸染车间布局进行规划研究。通过Plant-Simulation平台对浸染生产线进行布局仿真求解,实现了生产线布局的动态规划和物流强度计算,弥补了SLP在浸染生产线布局过程中方案迭代慢,不能快速寻优的缺陷。分析结果表明:SLP-GA比SLP在物流强度方面平均降低10%左右,在工艺和面积的约束下,布局方案更加符合实际生产。通过对某纱线染整企业的案例实施,为其开发智能化染整示范性生产线提供了合理的布局方案。

Layout optimization of dip dyeing workshop based on system layout planning-genetic algorithm

Unreasonable workshop layout and low automation level are primary factors affecting the efficiency of dip dyeing yarns,leading to increased material handling,shipping back of transportation routes,and inefficient production.In this study,a new automatic dyeing process was developed on the basis of the analysis of traditional dyeing process and logistics intensity.A new method based on improved genetic algorithm(GA)and system layout planning(SLP)was presented to solve the layout of dip dyeing workshop with the intensity of logistics and workshop area for establishing the objective function.The layout simulation was carried out using a plant simulation platform,which performed the dynamic planning and calculation of logistics intensity of the production line layout.Simulation results show that SLP-GA rapidly converged and is more effective than SLP.However,SLP-GA is approximately 10%lower than SLP on average in terms of logistics intensity.By implementing a dyeing and finishing enterprise under the constraints of process,this study provides a reasonable layout plan for developing intelligent dyeing and finishing demonstration production line that can achieve the lowest logistics cost and the smallest floor area.