关键词: 实时补货, 基于移动机器人的拣货系统, 储位分配, 灰狼优化算法

Abstract: To improve the picking efficiency of Robotic Mobile Fulfillment System (RMFS) order picking system in manufacturing enterprises,the impact of replenishment on the picking efficiency in the order picking process was analyzed,and the storage allocation problem under real-time replenishment was studied.Aiming at the shortest total handling distance in the two stages of replenishment and picking,an integer nonlinear programming model was established.A storage allocation algorithm based on binary network and an improved gray wolf optimization algorithm was proposed.The first two algorithms were used to effectively solve the storage allocation problem of RMFs order picking system based on real-time replenishment.Experiments showed that the designed storage allocation algorithm and improved gray wolf algorithm had obvious advantages in solution accuracy and stability compared with genetic algorithm,traditional gray wolf algorithm,improved artificial bee colony algorithm and improved gray wolf algorithm with Lévy flight,and effectively improved the operation efficiency of RMFS order picking system under different warehouse sizes and order picking sizes.

Key words: real time replenishment, robotic moble fulfillment system, storage allocation, gray wolf optimization algorithm