Bearing end cover production scheduling optimization method based on heuristic algorithm

Abstract

The invention provides a bearing end cover production scheduling optimization method based on a heuristic algorithm, and relates to the technical field. The method comprises the following steps: firstly, establishing a mathematical model of a bearing end cover production process, and sorting production work orders according to delivery dates, priorities and required capacities; splitting the sorted work orders into small work orders of which the output is the transfer batch according to the transfer batch; taking all the small work orders as a whole, and calculating the total machining time ofthe small work orders; and finally, setting the start time of the production plan, obtaining the start time and the end time of each work order according to the sequence of the finally sorted small work orders, and finally obtaining a production scheduling information table of all the orders. According to the method, production line operation optimization and production scheduling are combined through the heuristic algorithm to achieve optimal configuration of production operation resources, the utilization rate of equipment batch production in a production line is increased, and then an optimal production plan is obtained.

Description

technical field [0001] The invention relates to the technical field, in particular to a heuristic algorithm-based production scheduling optimization method for bearing end covers. Background technique [0002] The bearing end cover is fixed on the bearing seat to position the axial direction of the bearing to ensure sufficient centering accuracy; it acts as a seal to prevent liquid leakage, and at the same time makes the bearing lubricated well to increase the service life of the bearing. Bearing cover drawing as figure 1 shown. [0003] The equipment corresponding to the bearing end cover production line consists of an automatic processing unit and a testing unit. The automatic processing unit is composed of three i5 intelligent machine tools, a set of circulating material warehouse and a robot, a set of workpiece type detection unit, a set of vertical speed change fixture, a set of gripper mechanism and a set of turning mechanism; the automatic detection unit It consist...

AI Technical Summary

Problems solved by technology

Aiming at the current situation that the traditional stamping production can no longer meet the needs of modern automobile production, Yu Peng proposed to use a handling manipulator based on the stamping process of the original clutch end cover. Analysis, motion simulation design of the traversing system of the manipulator and the development of the control system of the manipulator completed the manufacture of the manipulator prototype in four steps

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