Production schedule prediction method and system based on data mining

Abstract

The invention discloses a production schedule prediction method and system based on data mining, and belongs to the technical field of automation. The method comprises the following steps of establishing a database, and storing historical data of part machining and workshop resource data; based on the historical data and a prediction algorithm, calculating a function relationship between the partmachining working hours and the working hour influence parameters; receiving a part production plan and a part technological procedure on the basis of the current part machining process and step to obtain a man-hour influence parameter of the current part machining process and a to-be-machined process; calculating the working hours of all current to-be-machined procedures of the machined parts; and calculating the machining starting time and the machining ending time of all the to-be-machined processes of the current machined parts to predict the production progress of the parts. On the basisof obtaining the calculation functions of all the working procedures and working hours of the machining workshop, the part production schedule calculation method under different machining states is provided, and a basis is provided for accurately predicting the part production schedule.

Description

technical field [0001] The invention relates to a production schedule prediction method and system based on data mining, belonging to the technical field of automation. Background technique [0002] Man-hour calculation and production schedule forecast are important references for manufacturing companies to formulate overall production plans, determine product production nodes, and cost control. Aerospace products represented by rockets and satellites have the characteristics of typical multi-variety, small-batch and mixed-line production. There are many types of parts, long processing routes, and complex and changeable production processes. Production plans are often adjusted due to design optimization and task control. and task rescheduling. However, the current experience-based production plan formulation and production scheduling method lacks scientific analysis of production process factors such as processing hours and resource use, and on the other hand cannot scienti...

AI Technical Summary

Problems solved by technology

[0003] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to provide a production progress prediction method and system based on data mining, and

Images