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Industrial production management method and system

A management method and product technology, applied in the direction of manufacturing computing systems, data processing applications, instruments, etc., can solve problems such as the inability to judge the validity, artificial intelligence can not make reasonable decisions alone, to ensure the overall decision-making ability and reduce the cost of decision-making analysis , Improve the effect of judgment ability

Pending Publication Date: 2022-01-28
张文
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem that artificial intelligence alone cannot make reasonable decisions to solve complex industrial problems, and the effectiveness of decisions cannot be judged, this application provides an industrial production management method and system

Method used

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  • Industrial production management method and system
  • Industrial production management method and system

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Embodiment Construction

[0056] Referring to the accompanying drawings, through the description of the embodiments, the specific implementation of the application, such as the shape and structure of the various components involved, the mutual position and connection relationship between the various parts, the role and working principle of the various parts, and the manufacturing process And the method of operation and use, etc., are described in further detail to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention. For the convenience of description, the directions mentioned in this application are subject to the directions shown in the drawings.

[0057] refer to Figure 1-Figure 2 Shown, a kind of industrial production management method comprises the following steps:

[0058] Step S1, the initial decision-making of the decision-making group, the members of the decision-making group analyze...

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Abstract

The invention relates to an industrial production management method. The method comprises the following steps: analyzing product parameters and specification requirements by members of a decision group, and preliminarily formulating decision schemes; performing operation simulation on the decision schemes of different members of the decision group to obtain simulation results; screening out decision schemes meeting specification requirements, and carrying out production evaluation; carrying out the production evaluation, selecting an optimal decision scheme, and applying the optimal decision scheme to production; evaluating decision ability; adjusting the decision group. In the application, by judging the influence degree of different process parameters on production evaluation data, the relationship between the data can be intuitively seen, and the data reference capability is improved; the effectiveness of decision schemes is judged by evaluating different proposed decisions, the judgment capability of different decisions is improved, the decision analysis cost is reduced, and the working efficiency is improved; the decision ability of a decision group members and the overall decision ability of the decision group are evaluated, so that the overall decision ability of the decision group is ensured, and the decision reliability is improved.

Description

technical field [0001] This application relates to the field of big data industrial management, in particular to an industrial production management method and system. Background technique [0002] With the continuous increase in the content of personalized decision-making data services, industrial digitization has become an important means of future competition in the big data industry. More demand requires mining more valuable content information from the big data platform to assist more intelligent decision-making. Data analysis help. Based on the big data platform, information sources and storage forms have the characteristics of diversity, variety, and heterogeneous data expression. In the face of rapid retrieval, decision analysis, and level-by-level drilling of massive data, the correlation between data has changed from a single fixed System application, shifting to multi-system data association in the big data environment, puts forward higher requirements for data m...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06Q50/20
CPCG06Q10/04G06Q10/06375G06Q10/06398G06Q10/067G06Q50/04G06Q50/2057Y02P90/30
Inventor 张文
Owner 张文
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