Research on Flexible Scheduling Algorithm for Pallet-Handling Robots Based on Comprehensive Scoring Method

In traditional Flexible Manufacturing Systems (FMS), Rail Guided Vehicles (RGV) are commonly used for material transportation. However, due to RGVs'single storage station limitation, completed machining tasks require a sequential process: first unloading pallets to idle positions of other equipment, then transporting new materials to machine tools for subsequent operations. This workflow causes significant machine idle time during waiting periods, reducing equipment operational rates. To address this, we propose a material handling solution combining industrial robots with pallet-following systems and develop an advanced flexible scheduling algorithm. By scheduling robots for rapid material changeovers, this approach significantly reduces machine waiting time, enhances production line flexibility, and effectively improves manufacturing efficiency.