Cloud intelligent production optimization scheduling online decision-making method and system based on case-based reasoning

Abstract

The invention provides a cloud intelligent production optimization scheduling online decision-making method based on case-based reasoning. The method comprises the steps of utilizing historical data of a cloud intelligent production scheduling process, constructing a scheduling process case library, constructing case description of a current to-be-decided cloud intelligent production scheduling problem by adopting online detected real-time data, carrying out case retrieval and case reuse to obtain a scheduling scheme of the current to-be-decided cloud intelligent production scheduling problem,and finally modifying and storing cases to complete updating of the case library. Thus, the online intelligent decision making of the cloud intelligent production optimization scheduling process is realized, the knowledge of the cloud intelligent production scheduling process is effectively reused, the resource sharing is finally realized, the enterprise is helped to save resources, and the production efficiency is improved.

Description

technical field [0001] The present invention relates to the field of industrial internet technology, in particular to a cloud production control system. Background technique [0002] As we all know, with the rapid development of manufacturing and processing technology, the traditional manufacturing environment and manufacturing model have also undergone tremendous changes, and intelligence, collaboration, and networking have gradually become the development trend of manufacturing models. Research on the online decision-making of intelligent production optimization scheduling in the cloud can not only improve resource utilization efficiency, thereby speeding up the process of green manufacturing and realizing resource sharing; The choice can play a corresponding guiding role. [0003] Traditionally, the optimization of production scheduling is achieved through the experience of enterprise personnel, while overly relying on personal experience and knowledge, it also causes a ...

AI Technical Summary

Problems solved by technology

However, the problem of cloud intelligent production scheduling process is a semi-structured and unstructured problem, and it is difficult to make online decisions simply by using an accurate mathematical model, so it is difficult to realize real-time optimization of cloud intelligent production scheduling process

In recent years, with the development of artificial intelligence, it is obviously difficult to meet the requirements of green manufacturing and online optimization only through the experience of traditional processing personnel and a precise mathematical model to achieve the decision-making of the scheduling plan. How to build a reliable cloud intelligence On-line intelligent decision-making systems and methods in the production scheduling process to ensure that the least resources are used to meet the optimal production requirements have attracted more and more attention from researchers.

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