The internet of things-based decision support system for information processing in intelligent manufacturing using data mining technology

被引:62
作者
Guo, Yuan [1 ,2 ,3 ]
Wang, Nan [4 ]
Xu, Ze-Yin [2 ]
Wu, Kai [3 ]
机构
[1] Jiangsu Univ, Sch Mech Engn, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Hefei Univ, Sch Mech Engn, Hefei 230601, Anhui, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Jiangsu, Peoples R China
[4] Hebei Agr Univ, Sch Mech & Elect Engn, Baoding 071000, Hebei, Peoples R China
关键词
Intelligent decision support system; Data mining; Decision tree; FRAMEWORK; BLOCKCHAIN;
D O I
10.1016/j.ymssp.2020.106630
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To comprehensively understand the decision information system for the information processing of the intelligent manufacturing under Internet of Things, an intelligent decision support system (DSS) based on data mining technology is applied to enterprises to establish an Internet of Things-based intelligent DSS for manufacturing industry, thereby supporting the decision-makers in making intelligent decisions through the intelligent DSS. The research results show that data mining technology can analyze the statistical data from multiple angles and perspectives by modeling, classifying, and clustering a large amount of data, as well as discovering the correlations between the data. Also, in statistical work, the data are counted, and their correlations are utilized to support the decision analysis. Therefore, it can be concluded that the establishment of intelligent DSS for enterprises in manufacturing industry and the utilization of data mining technology as the key technology to achieve the system can make the decision-making of the manufacturing enterprises more effective and scientific. Eventually, the satisfactory decision-making results can be obtained. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
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