首页|车间多排设备布局问题的优化研究

车间多排设备布局问题的优化研究

扫码查看
在车间多排设备布局问题上往往存在限制条件多、设计方案不合理的情况。针对车间多排设备布局问题的特性,提出一种车间布局优化模型,并且利用遗传算法变异策略优势改进粒子群算法,使得设计方案更加合理。首先,将车间设备进行坐标化,建立了基于总物流成本最小的目标函数。经过综合分析,量化了各工序之间的物流关系。然后根据消防通道、设备占地与间距等非物流因素采用分级惩罚思想建立各种约束。此外,利用随机生存的初始种群,采用加入遗传算法的自适应变异策略的粒子群算法搜索最优车间布局。最后,通过一个案例研究了该模型的工作原理。与系统布置设计(Systematic Layout Planning,SLP)方法和遗传算法(Genetic Algorithm,GA)相比,该方法在解决多排设备布局问题效果更好。
Research on optimization of multi-row equipment layout in workshop
There are many restrictions and unreasonable design schemes in the layout of multi-row workshop facilities.Aiming at the characteristics of multi-row plant layout problem,a shop layout optimization model was proposed,and the genetic algorithm variation strategy was used to improve the particle swarm optimization algorithm,which made the design scheme more reasonable.Firstly,the workshop equipment is coordinate,and the objective function with minimum total logistics cost is estab-lished.After comprehensive analysis,quantified the logistics relationship between each process.Then,according to non-logistics factors such as fire access,equipment area and distance,the idea of hierarchical punishment is used to establish various con-straints.In addition,by using the initial population of random survival,the particle swarm optimization algorithm is applied to search for the optimal workshop layout.Finally,a case study shows how the model works.Compared with Systematic Layout Plan-ning(SLP)and Genetic Algorithm(GA),this method can get a better solution for multi-row equipment layout problems.

Systematic Layout Planning(SLP)equipment layoutparticle swarm optimizationmulti-row layoutworkshop logis-tics

马成昊、闫丰亭、李媛媛、李志博

展开 >

上海工程技术大学电子电气工程学院,上海 201620

系统布置设计 设备布局 粒子群算法 多排布局 车间物流

上海科委高新技术项目上海煦沃电子有限公司校企合作项目

2151110370419DZ-015

2024

现代制造工程
北京机械工程学会 北京市机械工业局技术开发研究所

现代制造工程

CSTPCD北大核心
影响因子:0.374
ISSN:1671-3133
年,卷(期):2024.(2)
  • 8