Order Sequence And Dynamic Pod Storage Optimization For Robotic Mobile Fulfillment System

With the rapid development of domestic E-commerce and the continuous improvement of customers' logistics requirements,various "part-to-picker" picking systems have gradually replaced the inefficient "picker-to-part" picking systems.As the mainstream "part-to-picker"system,the robotic mobile fulfillment system has been attracting attention.In addition to the customer's changing order requirements,the rapid response of the picking system to the order is particularly important.In the above context,to seek a breakthrough in the picking system's picking efficiency without increasing the cost of additional equipment,the sequence of order picking and the storage location of the pods become very important.This article focuses on the ordering and pods' dynamic storage allocation of robotic mobile fulfillment system,which has positive theoretical and practical significance.First of all,through the analysis of the picking station's picking operation,storage and unloading operations,robot task allocation and other work processes of the robotic mobile fulfillment system,it lays a theoretical foundation for the ordering and dynamic storage allocation of the robotic mobile fulfillment system.Secondly,an order sorting model suitable for the robotic mobile fulfillment system is established.By optimizing the order picking sequence,the number of common pods for orders between adjacent orders in the picking table and the picking table is increased to reduce the number of times the pod is moved,and the improved simulated annealing clustering algorithm solves this ordering model.The validity of the model and algorithm is verified through simulation,which provides theoretical guidance for the actual picking operation.Then,by analyzing the pod storage process of the robotic mobile fulfillment system,a dynamic pod storage allocation model suitable for the robotic mobile fulfillment system is established with the goal of minimizing the pod handling distance.Two dynamic pod storage allocation strategies are proposed for the system.By simulating the picking systems of different scales,the effectiveness of the dynamic storage allocation strategy is verified,which has a certain reference to the operation of the robotic mobile fulfillment system in practice.