Research on RMFS Scheduling Problem Under Different Following Strategies.

With the rapid development of the e-commerce industry, RMFS is prevalent in the modern logistic center. As for this advanced system, robots can apply two following strategies: all-time following and non-following in a task. Alltime following strategy means that robot follows the picking rack until the task is completed, and non-following strategy refers to that robot will leave the rack to perform other tasks when the rack is queued at the workstation, and the robot will be dispatched when the rack needs to be moved. For the robot scheduling problem under two kinds of following strategies, aiming at the shortest total time for the robot to complete the wave tasks, the robot scheduling models under two kinds of following strategies are designed. The simulation experimental platform under two kinds of following strategies are designed based on genetic algorithm, and the system performance of all-time following strategy and non- following strategy is compared through simulation experiments. The decision-making curve of the following strategy based on the shortest total time is obtained, and it is proved that selecting the appropriate following strategy, which is combined with the specific working conditions, can effectively improve the operation efficiency of the picking system. The application following strategy curve can help enterprises to choose robot following strategy. [ABSTRACT FROM AUTHOR]