Big Data Analysis and Intelligent Decision Support System Construction in Mechanical Manufacturing

Yanyang He

doi:10.54097/wvyrxj09

Authors

Yanyang He

DOI:

https://doi.org/10.54097/wvyrxj09

Keywords:

Intelligent decision support system; Mechanical manufacturing; Big data processing technology; Production efficiency; Intelligent transformation.

Abstract

The purpose of this article is to explore the application of intelligent decision support system (DSS) in machinery manufacturing industry. Through the integration and innovation of big data processing technology, it provides efficient decision support for machinery manufacturing enterprises and promotes the intelligent transformation of the industry. In order to achieve this goal, the important role of big data in mechanical manufacturing is first expounded, and the construction process of intelligent DSS is introduced. In the system construction, the hierarchical architecture design is adopted, and key technologies such as big data analysis, machine learning and knowledge map construction are integrated, and several functional modules such as production monitoring, predictive maintenance and resource allocation optimization are designed. Then, by selecting practical application cases, the changes before and after system deployment are described. The results show that the successful application of intelligent DSS has improved the production efficiency and decision-making level of machinery manufacturing enterprises and brought tangible economic benefits to enterprises. This achievement proves the great potential of big data processing technology and intelligent DSS in machinery manufacturing industry.

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