Automatic management system of intelligent instant dynamic factory

Abstract

The invention discloses an automatic management system of an intelligent instant dynamic factory. According to the technical scheme of the invention, a work order planning unit generates an initial work order, and then an operation information capturing unit captures the operation information of a workstation during the process. Meanwhile, an operation stabilization period determining unit records and calculates the continuously obtained operation information, and then judges whether the workstation has entered a stable period or not through comparing the obtained information with a standard deviation. After that, the work order modification module of the work order planning unit is triggered and the operation information is captured by the operation information capturing unit. Finally, the completing time of the initial work order is modified based on the operation information. In this way, the completing time of the work order can be estimated more accurately by an operator according to the actual operation condition of equipment.

Description

technical field [0001] The invention relates to a factory management system, in particular to a real-time dynamic factory management system. Background technique [0002] In order to cooperate with the continuous production of production lines, many factories are equipped with MRP systems and / or ERP systems to improve the production efficiency of automated production lines. [0003] Such as Figure 13 As shown, the production factory organization mainly includes the management stage, the production stage and the quality control stage. In the management stage, depending on the needs of each factory, there are usually R&D departments, production management departments, accounting departments, human resources departments, and information departments. and materials department. In the production stage, the production technology department, production department, equipment department and factory affairs department are usually established, while in the quality control stage, the q...

AI Technical Summary

Problems solved by technology

[0006] Furthermore, although the MRP system or ERP system can calculate the learning curve of each operator based on the daily production reports returned by each process station, and use the learning curve as a plan to estimate the working time when the workstation makes the same product parts next time. However, because it is still impossible to fully grasp the current status of the production department in a timely manner, and the proportion of temporary responses from the production department's operators is still high, once the operator makes an omission in the operation or is not familiar with the operation process The operation of new operators, which directly reduces the process efficiency of the entire production line, and relatively increases the production cost

[0007] In addition, in terms of product yield improvement, the best process parameters with high yield rate can only be obtained after multiple work orders and multiple process parameter adjustments in the form of experimental batches. However, this method is quite time-consuming and expensive to collect There are blind spots in the process; in other words, currently each workstation cannot collect the corresponding process parameters at the same time as the production operation

[0008] In addition to the above-mentioned personnel and workstation equipment problems, the factory still has internal and external working environment factors that affect production efficiency. He was ordered to stop production when he failed the security check

Images