Data analytics and optimization for smart industry
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RESEARCH ARTICLE
Lixin TANG, Ying MENG
Data analytics and optimization for smart industry
© Higher Education Press 2020
Abstract Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional industries. Motivated by the major development strategies and needs of industrial intellectualization in China, this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization, as well as their application to smart industrial engineering. First, this study describes a general methodology for the fusion of data analytics and optimization. Then, it identifies some data analytics and system optimization technologies to handle key issues in smart manufacturing. Finally, it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and optimization. The framework uses data analytics to perceive and analyze industrial production and logistics processes. It also demonstrates the intelligent capability of planning, scheduling, operation optimization, and optimal control. Data analytics and system optimization technologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing, resources and materials, energy, and logistics systems, such as high energy consumption, high costs, low energy efficiency, low resource utilization, and serious environmental pollution. The fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency. Received July 28, 2019; accepted April 4, 2020
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Lixin TANG ( ), Ying MENG Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang 110819, China E-mail: [email protected] This work is supported by the Major International Joint Research Project of the National Natural Science Foundation of China (Grant No. 71520107004), the Major Program of National Natural Science Foundation of China (Grant No. 71790614), the Fund for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 71621061), and the 111 Project (Grant No. B16009).
Therefore, industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power. Keywords industry*
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data analytics, system optimization, smart
Background
Industrial intelligence is a core technology that enhances the global competitiveness of China’s industrial sector and brings about significant changes in the production processes and management modes of traditional industries. The increased integration of manufacturing processes and operation management systems transforms and upgrades traditional industries, making them highly efficient, refined, and environmentally friendly. Therefore, industrial intelligence has great
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