Method for predicting and optimizing efficiency of multi-workbin robot warehouse system

Abstract

The invention provides a method for predicting the efficiency of a multi-workbin robot warehouse system, and the method comprises the steps: building a semi-open queuing network model corresponding to the order selection and storage of a multi-workbin robot warehouse, and enabling all parameters of the model to correspond to all kinds of resource configurations of the warehouse system; carrying out approximate aggregation on the semi-open queuing network model by adopting an approximate average analysis method to obtain an approximate semi-open queuing network model which only has two service nodes and the service rate of which is influenced by the number of robots in the service nodes; taking the approximate semi-open queuing network model as a mathematical model for evaluating the efficiency of the multi-workbin robot warehouse system, and solving by adopting a matrix geometry method to obtain steady-state distribution of the mathematical model under the current resource configuration; and predicting the efficiency indexes of the system under the current resource configuration based on the steady state distribution: the average throughput time of the multi-workbin robot warehouse, the robot utilization rate, the queuing time of the robot at the workstation and the busy rate of the picker at the workstation.

Description

technical field [0001] The invention relates to the field of intelligent storage technology, especially the field of order picking and storage of robot warehouses, and in particular to a method for predicting and optimizing the efficiency of a multi-box robot warehouse system based on a queuing network. Background technique [0002] The transformation of traditional manual warehouses into robotic warehouses is the development trend of logistics and supply chain management. The multi-box robotic warehouse system is just one of the novel and efficient robotic warehouse systems. However, a series of factors restrict the development and promotion of multi-container robotic warehouse systems, especially before investing in such systems, it is difficult for enterprises to accurately and quickly evaluate the multi-container robotic warehouses they need according to their order needs System size. According to the actual order requirements of the enterprise, the performance of the m...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes a method of using a queuing network to predict the order picking and storage throughput time and other performance indicators of multi-bin robot warehouses, so as to solve the problem of high cost, time-consuming and inability to fully and accurately predict existing forecasting schemes. The technical problem of predicting performance under the influence of different resource allocations

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