Work

Research on PBS buffer scheduling strategy problems based on genetic algorithms

Year: 2025

Type: conference-paper

Abstract: 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.

Source: ITM Web of Conferences

DOI: 10.1051/itmconf/20257701022

Authors: Yaodan Zhang, Yuanbo Shi, Jianjun Xu, Zhiye Wei

Institution: Liaoning Shihua University

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4411923045