Research on Equipment Configuration Optimization of AGV Unmanned Warehouse

To improve the throughput performance of autonomous guide vehicle (AGV) unmanned storage system, a two-stage mathematical model was established. The also considers equipment configuration AGV system and AGV- picking stations dual resource coordination scheduling problem. In equipment-task phase, aims at shortest order completion time, while layout minimum operating cost. solve model, two-layer genetic algorithm designed. inner layer used to optimize task AGVs stations. results are fed back outer station's layout. loops combined obtain optimal scheme. Through simulation study an enterprise case, combination scheme obtained. Compared with based on principle in operation is another key link that affects efficiency warehouse random job time first; can retrieval minimize number configurations. Finally, improved compared LINGO verify effectiveness algorithm.