Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (7): 1512-1523.doi: 10.16182/j.issn1004731x.joss.21-1060

• Modeling Theory and Methodology • Previous Articles     Next Articles

Multi-Stage Multi-AGV Path Planning with Walk under Shelves for Robotic Mobile Fulfillment Systems

Teng Li1(), Peipei Ding1(), Jinfang Liu2   

  1. 1.Management School, Harbin University of Commerce, Harbin 150028, China
    2.School of Computer and AI Education, LingNan Normal University, Zhanjiang 524048, China
  • Received:2021-10-19 Revised:2022-01-07 Online:2022-07-30 Published:2022-07-20
  • Contact: Peipei Ding E-mail:liteng_ha@126.com;dingpeipei_2020@163.com

Abstract:

Aiming at the problem of increasing travel time due to turning and obstacle avoidance in robotic mobile fulfillment systems(RMFS) with large-scale multi-AGV path planning, a path planning model with the shortest task completion time is established. A path planning model considering no-load AGV that can pass through the shelf is proposed, and the model is solved by an improving A* algorithm. The AGV operation stage is divided, an turning penalty value is introduced into the A* algorithm to reduce the turning times, and the obstacle avoidance priority with the obstacle avoidance waiting time is set. The simulation results show that the new path planning method considering turning and obstacle avoidance can reduce task completion time and travel path length, and improve order picking efficiency of the warehouse of a distribution center.

Key words: RMFS (robotic mobile fulfillment systems), multi-AGVs path planning, walk under shelves, turning time, obstacle avoidance strategy, A* algorithm

CLC Number: