Material kitting judgment method based on discrete simulation

Abstract

The invention provides a material kitting judgment method, and belongs to the technical field of automobiles. The method solves the problem that an existing manual calculation method is low in material kitting judgment accuracy. The material kitting judgment method comprises the following steps of: constructing a virtual factory model and a production calendar in a simulation system; performing initialization setting on the virtual factory model, so that the automobile order sequence information is mapped to a corresponding station of the virtual factory model; carrying out simulation by using the constructed virtual factory model and the production calendar, and generating a vehicle passing point prediction time table; combining the vehicle passing point prediction time table with the vehicle manufacturing material list and the process list to obtain a material demand time prediction table of each vehicle passing each station; comparing and analyzing the material inventory information and the material information in the material demand time prediction table, and obtaining a judgment result about whether the materials of each automobile are matched or not. According to the invention, the material demand can be accurately calculated, and the accuracy of material kitting judgment is improved.

Description

technical field [0001] The invention belongs to the technical field of automobiles, and relates to a method for judging the complete set of materials based on discrete simulation. Background technique [0002] Factors such as the management mode of the automobile production workshop, insufficient allocation of production resources and backward production organization methods have become an important bottleneck restricting the development of production. Among them, the supply of parts and necessary reserves are the prerequisites to ensure that the order can be produced, and the inspection of the complete set of materials before the order is produced is a core issue that needs to be faced. [0003] The current pre-production material inspection work generally obtains the vehicles to be launched in the system manually as the calculation basis, and then associates the material list to calculate the material demand, and then obtains the inventory information from the system to ca...

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Problems solved by technology

[0004] However, this method has major disadvantages, such as: 1. The sequence of pulled vehicles that are not online will change the online time due to complex issues such as production line shunting and scheduling; 2. The pulled vehicles that are not online may be in the Not all materials are required during the estimated time period; 3. The counted inventory not only needs to support vehicles that are not online, but also needs to support vehicles that are currently online but have not passed the material pull point; 4. The counted inventory, Since future arrivals are dynamically replenished, this process is not counted

[0005] Based on the above reasons, this manual calculation method cannot accurately determine the material demand for the production of vehicles within a certain period of time in the future, and unnecessary materials will be prepared in advance or there will be a shortage of materials during the material production process. Too much, resulting in too much invalid inventory, reducing the turnover efficiency of materials, and then causing capital occupation, and lack of materials, which will affect production efficiency. Therefore, the existing manual calculation method has the problem of low accuracy in judging the complete set of materials

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