A AGV Quantity Configuration Method Based on Real-time Scheduling Simulation and Queuing Theory

Abstract

In the invention, an AGV simulation chart model and a mathematical model of AGV quantity configuration are established, the mathematical model is analyzed by combining a queuing theory method, an inequality with a parameter is given that the optimal quantity n should meet, then the number of n AGVs are placed on the simulation chart model, the simulation model is operated to obtain statistical data, and the statistical data are substituted into the inequality with the parameter to verify whether the inequality is true so as to determine the optimal number of AGVs. The method combines both an analytical method and a simulation method, simplifies the operation and statistical process, with the obtained number of AGVs being close to the actual situation, and can provide the best amount of AGV information suitable for the situation at the scene before the procurement and delivery of the AGVs so as to achieve the purposes of scientific decision-making and cost reduction.

Description

technical field [0001] The invention belongs to the field of resource allocation of workshops and warehousing logistics, in particular to an AGV quantity allocation method based on real-time scheduling simulation and queuing theory. Background technique [0002] AGV (automatic guided vehicle) plays an increasingly important role in the workshop and storage material handling of modern enterprises. Under the opportunity of new factory construction brought about by the expansion of enterprise production capacity, rational planning and implementation of AGV handling system is not only the key to realizing lean warehousing logistics, but also the focus of improving the application of automation technology in the material handling system of vehicle production workshops. At present, the research on the AGV handling system mainly focuses on three aspects: path planning, task scheduling and conflict handling, all of which are aimed at a certain aspect of the system. [0003] The cos...

AI Technical Summary

Problems solved by technology

Studies have shown that the number of cars calculated by the analytical method is better than the global guidance performance of the simulation analysis, but the degree of precision is not high. The calculation results of the simulation method are closer to the actual situation, but the calculation process is longer

In view of the lack of research, there is still no perfect method to solve the problem of AGV quantity allocation

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