Coupling scheduling model and coupling scheduling method for intelligent manufacturing workshop production and calculation tasks

Abstract

The invention discloses a coupling scheduling model for intelligent manufacturing workshop production and calculation tasks, and the model carries out the scheduling and distribution of a machining sequence of each workpiece, a distributed machining machine, the division of sub-calculation tasks in a calculation task, and an unloading mode selected in the calculation task. Therefore, the maximum completion time of all workpieces and the total delay time of all calculation tasks can be obtained, and the shortest maximum completion time and the shortest total delay time are taken as targets, so that a scheduling scheme of the production and calculation tasks of the coupling intelligent manufacturing workshop meeting constraint conditions can be solved. According to the coupling scheduling model for the production and calculation tasks of the intelligent manufacturing workshop, the completion time of the production tasks and the unloading time of the calculation tasks can be synchronously optimized. The invention further discloses an intelligent manufacturing workshop production and calculation task-oriented coupling scheduling method.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and specifically relates to a coupling scheduling model and coupling scheduling method for intelligent manufacturing workshop production and computing tasks. Background technique [0002] In today's smart workshop, the manufacturing level of the factory has been greatly improved, and the production tasks have become more and more complicated. With the rapid development of the Internet of Things technology, each machine in the smart workshop will generate massive data. The processing of these data also generates computing tasks. Processing machines, as terminal devices, often lack the storage space and computing power required to process these computing tasks, so computing tasks need to be offloaded to edge computing nodes or cloud computing centers in the workshop for computing. At present, the scheduling optimization of production tasks and the unloading optimization of compu...

AI Technical Summary

Problems solved by technology

At present, the scheduling optimization of production tasks and the unloading optimization of computing tasks are performed separately. However, in fact, the two are strongly coupled, and the optimization of one aspect will inevitably lead to the damage of the goal of the other.

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