Simulation method for warehouse AGV quantity evaluation

Abstract

The invention provides a simulation method for warehouse AGV quantity evaluation, and relates to the technical field of vehicle scheduling. The method includes: enabling an order system to periodically synchronize order incremental data to a hive data warehouse through sqoop; setting an order sampling data volume, an order time range, a required AGV quantity range and an initial parameter value ofa genetic algorithm; then extracting simulation data from the hive data warehouse according to a set order sampling data volume and an order time range; judging whether the maximum value of the set AGV number range is smaller than a set threshold value or not, if so, adopting an exhaustion method to traverse the AGV number range, and if not, adopting a genetic algorithm to iteratively calculate the completion time needed for completing the carrying task by each AGV number; and finally, comprehensively considering time and cost factors to determine the optimal AGV number. According to the method, the genetic algorithm is used for carrying out optimal calculation, so that the calculation time consumption caused by exhaustion traversal is reduced, the relationship between the transport capacity and the cost is balanced, and the enterprise cost is saved.

Description

technical field [0001] The invention relates to the technical field of vehicle dispatching, in particular to a simulation method for assessing the number of AGVs in a warehouse. Background technique [0002] With the rapid development of the logistics industry, improving efficiency and saving costs has become an urgent need for enterprises. As an automatic handling vehicle in the warehouse, it is widely used in the logistics industry. AGV (Automated Guided Vehicle) refers to a transport vehicle equipped with automatic guidance devices such as electromagnetic or optical, capable of driving along a prescribed guidance path, with safety protection and various transfer functions, and used in industrial applications A truck that does not require a driver uses a rechargeable battery as its power source. Generally, the computer can be used to control its travel route and behavior, or use the electromagnetic track (electromagnetic path-following system) to set up its travel route. ...

AI Technical Summary

Problems solved by technology

[0003] However, due to the high cost of AGVs, deploying too many AGVs in the warehouse will easily lead to waste of transportation capacity, and even excessive road congestion in extreme cases. If the number is too small, the transportation volume requirements will not be met. How to choose the number of AGVs to deploy , balancing the relationship between capacity and cost has become a very important practical issue

[0004] At present, the evaluation of the number of AGVs deployed in the warehouse mainly relies on the experience of management personnel to estimate the picking tasks of the warehouse and the average picking time of an AGV, making a rough estimate, and has not established a scientific and standardized evaluation method

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