Abstract: 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 established.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 constraints. 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 Planning (SLP) and Genetic Algorithm (GA),this method can get a better solution for multi-row equipment layout problems.

Key words: Systematic Layout Planning (SLP), equipment layout, particle swarm optimization, multi-row layout, workshop logistics