Research on PBS buffer scheduling strategy problems based on genetic algorithms

In automotive manufacturing, production constraints between the painting and assembly workshops often disrupt the vehicle production sequence. To solve this, a Painted Body Store (PBS) buffer was introduced. This adjusts the sequence from painting to match the assembly workshop's needs.A model was created using rules to match vehicle and channel attributes, forming an initial exit sequence for painted vehicles. A genetic algorithm optimized vehicle selection from the PBS, adhering to constraints.Analysis showed this method improved efficiency by nearly 40% compared to traditional linear scheduling. This highlights its effectiveness in optimizing automotive manufacturing.